CN111682881A - Communication reconnaissance simulation method and system suitable for multi-user signals - Google Patents
Communication reconnaissance simulation method and system suitable for multi-user signals Download PDFInfo
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Abstract
The invention discloses a communication reconnaissance simulation method and a communication reconnaissance simulation system suitable for multi-user signals, wherein the method comprises the following steps: acquiring a plurality of multi-user signals, and separating the plurality of multi-user signals to obtain an independent user signal of each user; respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal; determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal; filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal; carrying out down-conversion on the sub-carrier frequency signal of each independent user signal to obtain a corresponding baseband signal; and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal. The invention can effectively filter each sub-carrier frequency signal and avoid dividing the same sub-carrier frequency signal into two adjacent channels.
Description
Technical Field
The invention relates to the technical field of communication signal processing, in particular to a communication reconnaissance simulation method and system suitable for multi-user signals.
Background
Currently, in the information countermeasure environment where a plurality of user signals are communicated simultaneously, the frequency coverage is large, and the electromagnetic environment is complex, a digital channelization technology is generally adopted during reconnaissance and reception, the reception processing bandwidth is divided to form a series of sub-channels, and each narrow-band sub-channel signal is identified and analyzed.
For a complex electromagnetic environment in which a plurality of users communicate, the digital channelized receiving equipment in the prior art is complex to implement, the interval of each sub-channel is fixed during channel division, the channel division form cannot be automatically adjusted along with the carrier frequency interval of each user, the utilization rate of a system is influenced, signals between two adjacent sub-channels are easily divided into the two sub-channels to be respectively processed, and the subsequent communication parameter detection and identification accuracy is influenced.
Therefore, how to effectively filter out each sub-carrier frequency signal and improve the accuracy of the identification of the subsequent communication parameters is an urgent problem to be solved.
Disclosure of Invention
In view of this, the present invention provides a communication reconnaissance simulation method and system suitable for multi-user signals, which can effectively filter out each sub-carrier frequency signal, avoid dividing the same sub-carrier frequency signal into two adjacent channels, and simultaneously select signals of multiple user time periods for identification, thereby improving the accuracy of identification of subsequent communication parameters.
The invention provides a communication reconnaissance simulation method suitable for multi-user signals, which comprises the following steps:
acquiring a plurality of multi-user signals, wherein the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one;
separating the multiple multi-user signals to obtain independent user signals of each user, wherein the users correspond to the independent user signals one by one;
respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein the independent user signals correspond to the time-frequency relation tables one to one;
determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal;
filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal;
carrying out down-conversion on sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, wherein the sub-carrier frequency signals correspond to the baseband signals one to one;
and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
Optionally, the separating the multiple multi-user signals to obtain an independent user signal of each user includes:
and separating the plurality of multi-user signals through an independent component analysis algorithm to obtain an independent user signal of each user.
Optionally, the transforming the separated independent user signals of each user respectively to obtain a time-frequency relationship table of each independent user signal includes:
and respectively transforming the separated independent user signals of each user through short-time Fourier transform to obtain a time-frequency relation table of each independent user signal.
Optionally, the determining, based on the time-frequency relationship table corresponding to the independent user signal, a band-pass filter corresponding to the independent user signal includes:
determining the jth carrier frequency of the ith independent user signal based on the time-frequency relation table of the ith independent user signal, and recording as fijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal;
arranging the carrier frequencies of the ith independent user signal in ascending order, and arranging fi(j+1)-fi(j-1)]2 is denoted as fimin;
Will f isijAnd fiminThe sum of the center frequencies of the bandpass filters which are respectively used as the jth sub-carrier frequency signal of the ith independent user signalBandwidth.
Optionally, the performing modulation scheme identification and symbol rate estimation on each independent user signal by using a corresponding baseband signal includes:
time-frequency relation table H based on ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, …, K, p is 1,2, …, L is the number of times of the j sub-carrier frequency signals in the i independent user signal detection period;
determining the user signal duration T in the jth sub-carrier signalijpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmax;
Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying all signals S 'to be measured of the ith independent user signal by adopting a modulation mode based on spectral line characteristics'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal;
to signal S 'to be measured'ijpEstimating symbol rate by adopting a cyclic autocorrelation method, and obtaining all signals S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
A communication scout simulation system adapted for multi-user signals, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of multi-user signals, the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one;
the separation module is used for separating the plurality of multi-user signals to obtain an independent user signal of each user, and the users correspond to the independent user signals one to one;
the transformation module is used for respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, and the independent user signals correspond to the time-frequency relation tables one to one;
the determining module is used for determining the band-pass filter corresponding to the independent user signal based on the time-frequency relation table corresponding to the independent user signal;
the filtering module is used for filtering the corresponding independent user signal based on the band-pass filter to obtain each sub-carrier frequency signal of the independent user signal;
the down-conversion module is used for carrying out down-conversion on the sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, and the sub-carrier frequency signals correspond to the baseband signals one to one;
and the identification estimation module is used for carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
Optionally, the separation module is specifically configured to:
and separating the plurality of multi-user signals through an independent component analysis algorithm to obtain an independent user signal of each user.
Optionally, the transformation module is specifically configured to:
and respectively transforming the separated independent user signals of each user through short-time Fourier transform to obtain a time-frequency relation table of each independent user signal.
Optionally, the determining module is specifically configured to:
determining the jth carrier frequency of the ith independent user signal based on the time-frequency relation table of the ith independent user signal, and recording as fijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal;
arranging the carrier frequencies of the ith independent user signal in ascending order, and arranging fi(j+1)-fi(j-1)]2 is denoted as fimin;
Will f isijAnd fiminRespectively as the center frequency and bandwidth of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
Optionally, the identification and estimation module is specifically configured to:
time-frequency relation table H based on ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, …, K, p is 1,2, …, L is the number of times of the j sub-carrier frequency signals in the i independent user signal detection period;
determining the user signal duration T in the jth sub-carrier signalijpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmax;
Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying all signals S 'to be measured of the ith independent user signal by adopting a modulation mode based on spectral line characteristics'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal;
to signal S 'to be measured'ijpEstimating symbol rate by adopting a cyclic autocorrelation method, and obtaining all signals S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
In summary, the present invention discloses a communication reconnaissance simulation method and system suitable for multi-user signals, which acquire a plurality of multi-user signals when communication reconnaissance simulation needs to be performed on the multi-user signals, wherein the multi-user signals are signals received by a plurality of reconnaissance receivers from different directions, and the multi-user signals correspond to the reconnaissance receivers one to one; separating a plurality of multi-user signals to obtain an independent user signal of each user, wherein the users correspond to the independent user signals one by one; respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein the independent user signals correspond to the time-frequency relation tables one to one; determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal; filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal; carrying out down-conversion on sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, wherein the sub-carrier frequency signals correspond to the baseband signals one to one; and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal. The invention can effectively filter each sub-carrier frequency signal, avoid dividing the same sub-carrier frequency signal into two adjacent channels, select signals of a plurality of user time periods for identification, and improve the identification accuracy of subsequent communication parameters.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method of an embodiment 1 of a communication reconnaissance simulation method for multi-user signals according to the present disclosure;
fig. 2 is a flowchart of a method of embodiment 2 of a communication reconnaissance simulation method for multi-user signals according to the present disclosure;
fig. 3 is a schematic structural diagram of a communication reconnaissance simulation system according to an embodiment 1 of the present invention;
fig. 4 is a schematic structural diagram of a communication reconnaissance simulation system in an embodiment 2 suitable for multi-user signals according to the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, which is a flowchart of a method of embodiment 1 of a communication reconnaissance simulation method suitable for multi-user signals disclosed in the present invention, the method may include the following steps:
s101, a plurality of multi-user signals are obtained, wherein the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one.
When the multi-user signal needs to be subjected to communication reconnaissance simulation, a plurality of multi-user signals received by a plurality of reconnaissance planes from different directions are obtained. It should be noted that the number of users and the number of multi-user signals are determined according to a specific application scenario, but the number of users and the number of multi-user signals are both at least two, and a one-to-one correspondence does not necessarily exist; the multi-user signals correspond to the reconnaissance receivers one to one. It should be noted that, in sampling a fast component analysis (ICA) calculation method, the number of the spy receivers needs to be larger than the number of users.
S102, separating a plurality of multi-user signals to obtain independent user signals of each user, wherein the users correspond to the independent user signals one to one.
After obtaining the multiple multi-user signals, further separating the multiple multi-user signals to obtain an independent user signal of each user. For example, a plurality of multi-user signals are separated to obtain an independent user signal a of a user a, an independent user signal B of a user B, and an independent user signal C of a user C; user a corresponds to independent user signal a, user B corresponds to independent user signal B, and user C corresponds to independent user signal C.
S103, the separated independent user signals of each user are respectively transformed to obtain a time-frequency relation table of each independent user signal, and the independent user signals correspond to the time-frequency relation table one to one.
And then, respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein each independent user signal is in one-to-one correspondence with the time-frequency relation table. For example, the independent user signal a of the user a is transformed to obtain a time-frequency relationship table of the independent user signal a, and the obtained time-frequency relationship table records the corresponding relationship between the occurrence time and frequency of the independent user signal a.
And S104, determining the band-pass filter corresponding to the independent user signal based on the time-frequency relation table corresponding to the independent user signal.
And after the time-frequency relation table of each independent user signal is obtained, determining the band-pass filter corresponding to the independent user signal according to the time-frequency relation table corresponding to the independent user signal. For example, the band-pass filter corresponding to the independent user signal a is determined according to the time-frequency relationship table corresponding to the independent user signal a.
And S105, filtering the corresponding independent user signal based on the band-pass filter to obtain each sub-carrier frequency signal of the independent user signal.
After the band-pass filter corresponding to the independent user signal is determined, each sub-carrier frequency signal has the corresponding band-pass filter, so that the corresponding independent user signal is filtered through the band-pass filters, and the sub-carrier frequency signal of the corresponding independent user signal can be obtained. For example, the bandwidth range of an independent user signal is 0-10M, the duration is 100s, the sub-carrier frequencies include 0-2M, 2-4M, 4-6M, 6-8M and 8-10M, different sub-carrier frequency signals appear in different time periods within 0-100 s, that is, the independent user signal has a certain time-frequency relationship within 0-100 s, and the corresponding sub-carrier frequency signal can be obtained through filtering by the determined band-pass filter. Therefore, for different independent user signals, the corresponding band-pass filter can be determined in a self-adaptive manner, so that the band-pass filter is always adapted to the frequency of the corresponding independent user signal, and each sub-carrier frequency signal of the independent user signal is effectively filtered out through the determined band-pass filter.
S106, carrying out down-conversion on the sub-carrier frequency signal of each independent user signal to obtain a corresponding baseband signal, wherein the sub-carrier frequency signals correspond to the baseband signals one to one.
After each sub-carrier frequency signal corresponding to each independent user signal is obtained, further performing down-conversion on the sub-carrier frequency signal of the independent user signal to obtain baseband signals corresponding to the sub-carrier frequency signals one to one.
And S107, carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
And finally, carrying out modulation mode identification and symbol rate estimation on the independent user signal through the obtained baseband signal so as to improve the identification accuracy of subsequent communication parameters.
In summary, in the above embodiments, when the multi-user signal needs to be subjected to communication scout simulation, a plurality of multi-user signals are obtained, where the plurality of multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one; separating a plurality of multi-user signals to obtain an independent user signal of each user, wherein the users correspond to the independent user signals one by one; respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein the independent user signals correspond to the time-frequency relation tables one to one; determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal; filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal; carrying out down-conversion on sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, wherein the sub-carrier frequency signals correspond to the baseband signals one to one; and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal. The method can effectively filter out each sub-carrier frequency signal, avoid dividing the same sub-carrier frequency signal into two adjacent channels, select signals of a plurality of user time periods for identification, and improve the identification accuracy of subsequent communication parameters.
As shown in fig. 2, which is a flowchart of a method of embodiment 2 of the simulation method for communication reconnaissance of multi-user signals disclosed in the present invention, the method may include the following steps:
s201, obtaining a plurality of multi-user signals, wherein the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one.
When the multi-user signal needs to be subjected to communication reconnaissance simulation, a plurality of multi-user signals received by a plurality of reconnaissance planes from different directions are obtained. It should be noted that the number of users and the number of multi-user signals are determined according to a specific application scenario, but the number of users and the number of multi-user signals are both at least two, and a one-to-one correspondence does not necessarily exist; the multi-user signals correspond to the reconnaissance receivers one to one.
S202, separating the multiple multi-user signals through an independent component analysis algorithm to obtain independent user signals of each user.
After obtaining the multiple multi-user signals, further separating the multiple multi-user signals to obtain an independent user signal of each user. For example, a plurality of multi-user signals are separated to obtain an independent user signal a of a user a, an independent user signal B of a user B, and an independent user signal C of a user C; user a corresponds to independent user signal a, user B corresponds to independent user signal B, and user C corresponds to independent user signal C.
Specifically, when separating multiple multi-user signals, a fast ICA (independent component analysis) calculation method may be used to separate the multiple multi-user signals, so as to obtain an independent user signal of each user. It should be noted that, when the fast ICA calculation method is adopted, the number of the spy receivers needs to be larger than the number of the users.
And S203, respectively transforming the separated independent user signals of each user through short-time Fourier transform to obtain a time-frequency relation table of each independent user signal.
And then, respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein each independent user signal is in one-to-one correspondence with the time-frequency relation table. For example, the independent user signal a of the user a is transformed to obtain a time-frequency relationship table of the independent user signal a, and the obtained time-frequency relationship table records the corresponding relationship between the occurrence time and frequency of the independent user signal a.
Specifically, the separated independent user signals of each user may be transformed by an STFT (short-time fourier transform), so as to obtain a time-frequency relationship table of each independent user signal.
And S204, determining the band-pass filter corresponding to the independent user signal based on the time-frequency relation table corresponding to the independent user signal.
And after the time-frequency relation table of each independent user signal is obtained, determining the band-pass filter corresponding to the independent user signal according to the time-frequency relation table corresponding to the independent user signal. For example, the band-pass filter corresponding to the independent user signal a is determined according to the time-frequency relationship table corresponding to the independent user signal a.
Specifically, when determining the band pass filter corresponding to the independent user signal, first, a jth carrier frequency, denoted as f, at which the ith independent user signal appears is determined based on a time-frequency relationship table of the ith independent user signalijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal; then the carrier frequencies of the ith independent user signal are arranged according to the ascending order, and fi(j+1)-fi(j-1)]2 is denoted as fimin(ii) a Will f isijAnd fiminRespectively as the center frequency and bandwidth of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
S205, filtering the corresponding independent user signal based on the band-pass filter to obtain each sub-carrier frequency signal of the independent user signal.
After the band-pass filter corresponding to the independent user signal is determined, each sub-carrier frequency signal has the corresponding band-pass filter, so that the corresponding independent user signal is filtered through the band-pass filters, and the sub-carrier frequency signal of the corresponding independent user signal can be obtained. For example, with a center frequency fijBandwidth of fiminThe band-pass filter of (1) filters the ith independent user signal to obtain the jth sub-carrier frequency signal of the ith independent user signal.
Therefore, for different independent user signals, the corresponding band-pass filter can be determined in a self-adaptive manner, and each sub-carrier frequency signal of the independent user signal is effectively filtered out through the determined band-pass filter.
And S206, carrying out down-conversion on the sub-carrier frequency signal of each independent user signal to obtain a corresponding baseband signal, wherein the sub-carrier frequency signals correspond to the baseband signals one to one.
After each sub-carrier frequency signal corresponding to each independent user signal is obtained, further performing down-conversion on the sub-carrier frequency signal of the independent user signal to obtain baseband signals corresponding to the sub-carrier frequency signals one to one. For example, a sub-carrier signal S corresponding to the ith independent user signal is obtainedijAnd carrier frequency fijJ is 1,2, K is the total number of carriers used by the i-th individual user signal, and the carrier frequency f is the carrier frequencyijAs local oscillation frequency of digital down-conversion DDS, sub-carrier frequency signal SijDown conversion to a baseband signal Si'j。
And S207, carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
And finally, carrying out modulation mode identification and symbol rate estimation on the independent user signal through the obtained baseband signal so as to improve the identification accuracy of subsequent communication parameters.
Specifically, firstly, based on the time-frequency relation table H of the ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, K, p is 1,2, …, L is the number of times that the j sub carrier frequency signals in the i independent user signal detection period co-occur; then, the duration T of the user signal in the jth sub-carrier frequency signal is determinedijpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmax(ii) a Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying by adopting a modulation mode based on spectral line characteristics, and enabling the ith to be independentAll signals to be tested S 'of user signals'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal; to signal S 'to be measured'ijpEstimating symbol rate by adopting a cyclic autocorrelation method, and obtaining all signals S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
In summary, the invention is suitable for a complex electromagnetic environment in which multiple users communicate, and compared with the existing digital channelized receiving technology, the invention can effectively filter out each sub-carrier frequency signal by adaptively selecting the coefficients of the band-pass filter, thereby avoiding dividing the same sub-carrier frequency signal into two adjacent channels, selecting signals of multiple user periods for identification at the same time, and improving the accuracy of identification of subsequent communication parameters.
It should be noted that: in practical applications, other embodiments are also possible. If all signals S 'to be tested of the ith independent user signal'ijpThe modulation mode with the second highest probability is identified as the modulation mode of the ith independent user signal. For another example, part of signal S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal, wherein the 'part' can mean that the signal S 'to be measured is removed'ijpData after the maximum value and the minimum value in the symbol rate estimation result. For example, other time-frequency relationship obtaining methods in the prior art may be used to obtain the time-frequency relationship table. For example, the average value of the carrier frequencies at both sides of the jth carrier frequency after the ascending order arrangement can be used as the center frequency of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
As shown in fig. 3, which is a schematic structural diagram of an embodiment 1 of a communication reconnaissance simulation system suitable for multi-user signals disclosed in the present invention, the system may include:
an obtaining module 301, configured to obtain multiple multi-user signals, where the multiple multi-user signals are signals received by multiple spy receivers from different directions, and the multi-user signals correspond to the spy receivers one to one.
When the multi-user signal needs to be subjected to communication reconnaissance simulation, a plurality of multi-user signals received by a plurality of reconnaissance planes from different directions are obtained. It should be noted that the number of users and the number of multi-user signals are determined according to a specific application scenario, but the number of users and the number of multi-user signals are both at least two, and a one-to-one correspondence does not necessarily exist; the multi-user signals correspond to the reconnaissance receivers one to one. It should be noted that, in sampling a fast component analysis (ICA) calculation method, the number of the spy receivers needs to be larger than the number of users.
A separation module 302, configured to separate multiple multi-user signals to obtain an independent user signal of each user, where the users correspond to the independent user signals one to one.
After obtaining the multiple multi-user signals, further separating the multiple multi-user signals to obtain an independent user signal of each user. For example, a plurality of multi-user signals are separated to obtain an independent user signal a of a user a, an independent user signal B of a user B, and an independent user signal C of a user C; user a corresponds to independent user signal a, user B corresponds to independent user signal B, and user C corresponds to independent user signal C. The transforming module 303 is configured to transform the separated independent user signals of each user respectively to obtain a time-frequency relationship table of each independent user signal, where the independent user signals correspond to the time-frequency relationship table one to one.
And then, respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein each independent user signal is in one-to-one correspondence with the time-frequency relation table. For example, the independent user signal a of the user a is transformed to obtain a time-frequency relationship table of the independent user signal a, and the obtained time-frequency relationship table records the corresponding relationship between the occurrence time and frequency of the independent user signal a.
A determining module 304, configured to determine a band-pass filter corresponding to the independent user signal based on the time-frequency relationship table corresponding to the independent user signal.
And after the time-frequency relation table of each independent user signal is obtained, determining the band-pass filter corresponding to the independent user signal according to the time-frequency relation table corresponding to the independent user signal. For example, the band-pass filter corresponding to the independent user signal a is determined according to the time-frequency relationship table corresponding to the independent user signal a.
The filtering module 305 is configured to filter the corresponding independent user signal based on the band-pass filter, so as to obtain each sub-carrier frequency signal of the independent user signal.
After the band-pass filter corresponding to the independent user signal is determined, each sub-carrier frequency signal has the corresponding band-pass filter, so that the corresponding independent user signal is filtered through the band-pass filters, and the sub-carrier frequency signal of the corresponding independent user signal can be obtained. For example, the bandwidth range of an independent user signal is 0-10M, the duration is 100s, the sub-carrier frequencies include 0-2M, 2-4M, 4-6M, 6-8M and 8-10M, different sub-carrier frequency signals appear in different time periods within 0-100 s, that is, the independent user signal has a certain time-frequency relationship within 0-100 s, and the corresponding sub-carrier frequency signal can be obtained through filtering by the determined band-pass filter. Therefore, for different independent user signals, the corresponding band-pass filter can be determined in a self-adaptive manner, so that the band-pass filter is always adapted to the frequency of the corresponding independent user signal, and each sub-carrier frequency signal of the independent user signal is effectively filtered out through the determined band-pass filter.
The down-conversion module 306 is configured to down-convert the sub-carrier frequency signal of each independent user signal to obtain a corresponding baseband signal, where the sub-carrier frequency signal corresponds to the baseband signal one to one.
After each sub-carrier frequency signal corresponding to each independent user signal is obtained, further performing down-conversion on the sub-carrier frequency signal of the independent user signal to obtain baseband signals corresponding to the sub-carrier frequency signals one to one.
And an identification estimation module 307, configured to perform modulation scheme identification and symbol rate estimation on each independent user signal with a corresponding baseband signal.
And finally, carrying out modulation mode identification and symbol rate estimation on the independent user signal through the obtained baseband signal so as to improve the identification accuracy of subsequent communication parameters.
In summary, in the above embodiments, when the multi-user signal needs to be subjected to communication scout simulation, a plurality of multi-user signals are obtained, where the plurality of multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one; separating a plurality of multi-user signals to obtain an independent user signal of each user, wherein the users correspond to the independent user signals one by one; respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein the independent user signals correspond to the time-frequency relation tables one to one; determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal; filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal; carrying out down-conversion on sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, wherein the sub-carrier frequency signals correspond to the baseband signals one to one; and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal. The method can effectively filter out each sub-carrier frequency signal, avoid dividing the same sub-carrier frequency signal into two adjacent channels, select signals of a plurality of user time periods for identification, and improve the identification accuracy of subsequent communication parameters.
As shown in fig. 4, which is a schematic structural diagram of an embodiment 2 of a communication reconnaissance simulation system suitable for multi-user signals disclosed in the present invention, the system may include:
an obtaining module 401, configured to obtain multiple multi-user signals, where the multiple multi-user signals are signals received by multiple spy receivers from different directions, and the multi-user signals correspond to the spy receivers one to one.
When the multi-user signal needs to be subjected to communication reconnaissance simulation, a plurality of multi-user signals received by a plurality of reconnaissance planes from different directions are obtained. It should be noted that the number of users and the number of multi-user signals are determined according to a specific application scenario, but the number of users and the number of multi-user signals are both at least two, and a one-to-one correspondence does not necessarily exist; the multi-user signals correspond to the reconnaissance receivers one to one.
A separation module 402, configured to separate multiple multi-user signals through an independent component analysis algorithm, so as to obtain an independent user signal of each user.
After obtaining the multiple multi-user signals, further separating the multiple multi-user signals to obtain an independent user signal of each user. For example, a plurality of multi-user signals are separated to obtain an independent user signal a of a user a, an independent user signal B of a user B, and an independent user signal C of a user C; user a corresponds to independent user signal a, user B corresponds to independent user signal B, and user C corresponds to independent user signal C.
Specifically, when separating multiple multi-user signals, a fast ICA (independent component analysis) calculation method may be used to separate the multiple multi-user signals, so as to obtain an independent user signal of each user. It should be noted that, when the fast ICA calculation method is adopted, the number of the spy receivers needs to be larger than the number of the users.
A transforming module 403, configured to transform the separated independent user signals of each user through short-time fourier transform, respectively, to obtain a time-frequency relationship table of each independent user signal.
And then, respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein each independent user signal is in one-to-one correspondence with the time-frequency relation table. For example, the independent user signal a of the user a is transformed to obtain a time-frequency relationship table of the independent user signal a, and the obtained time-frequency relationship table records the corresponding relationship between the occurrence time and frequency of the independent user signal a.
Specifically, the separated independent user signals of each user may be transformed by an STFT (short-time fourier transform), so as to obtain a time-frequency relationship table of each independent user signal.
A determining module 404, configured to determine a band-pass filter corresponding to the isolated user signal based on the time-frequency relationship table corresponding to the isolated user signal.
And after the time-frequency relation table of each independent user signal is obtained, determining the band-pass filter corresponding to the independent user signal according to the time-frequency relation table corresponding to the independent user signal. For example, the band-pass filter corresponding to the independent user signal a is determined according to the time-frequency relationship table corresponding to the independent user signal a.
Specifically, when determining the band pass filter corresponding to the independent user signal, first, a jth carrier frequency, denoted as f, at which the ith independent user signal appears is determined based on a time-frequency relationship table of the ith independent user signalijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal; then the carrier frequencies of the ith independent user signal are arranged according to the ascending order, and fi(j+1)-fi(j-1)]2 is denoted as fimin(ii) a Will f isijAnd fiminRespectively as the center frequency and bandwidth of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
The filtering module 405 is configured to filter the corresponding independent user signal based on the band-pass filter to obtain each sub-carrier frequency signal of the independent user signal.
After the band-pass filter corresponding to the independent user signal is determined, each sub-carrier frequency signal has the corresponding band-pass filter, so that the corresponding independent user signal is filtered through the band-pass filters, and the sub-carrier frequency signal of the corresponding independent user signal can be obtained. For example, with a center frequency fijBandwidth of fiminThe band-pass filter of (1) filters the ith independent user signal to obtain the jth sub-carrier frequency signal of the ith independent user signal.
Therefore, for different independent user signals, the corresponding band-pass filter can be determined in a self-adaptive manner, and each sub-carrier frequency signal of the independent user signal is effectively filtered out through the determined band-pass filter.
A down-conversion module 406, configured to perform down-conversion on the sub-carrier frequency signal of each independent user signal to obtain a corresponding baseband signal, where the sub-carrier frequency signal corresponds to the baseband signal one to one.
After each sub-carrier frequency signal corresponding to each independent user signal is obtained, further performing down-conversion on the sub-carrier frequency signal of the independent user signal to obtain baseband signals corresponding to the sub-carrier frequency signals one to one. For example, a sub-carrier signal S corresponding to the ith independent user signal is obtainedijAnd carrier frequency fijJ is 1,2, K is the total number of carriers used by the i-th individual user signal, and the carrier frequency f is the carrier frequencyijAs local oscillation frequency of digital down-conversion DDS, sub-carrier frequency signal SijDown conversion to a baseband signal Si'j。
And the identification estimation module 407 is configured to perform modulation scheme identification and symbol rate estimation on each independent user signal using the corresponding baseband signal.
And finally, carrying out modulation mode identification and symbol rate estimation on the independent user signal through the obtained baseband signal so as to improve the identification accuracy of subsequent communication parameters.
Specifically, firstly, based on the time-frequency relation table H of the ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, K, p is 1,2, …, L is the number of times that the j sub carrier frequency signals in the i independent user signal detection period co-occur; then, the duration T of the user signal in the jth sub-carrier frequency signal is determineditpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmax(ii) a Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying all signals S 'to be measured of the ith independent user signal by adopting a modulation mode based on spectral line characteristics'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal; to signal S 'to be measured'ijpSymbol estimation using cyclic autocorrelationSpeed, all signals to be measured S'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
In summary, the invention is suitable for a complex electromagnetic environment in which multiple users communicate, and compared with the existing digital channelized receiving technology, the invention can effectively filter out each sub-carrier frequency signal by adaptively selecting the coefficients of the band-pass filter, thereby avoiding dividing the same sub-carrier frequency signal into two adjacent channels, selecting signals of multiple user periods for identification at the same time, and improving the accuracy of identification of subsequent communication parameters.
It should be noted that: in practical applications, other embodiments are also possible. If all signals S 'to be tested of the ith independent user signal'ijpThe modulation mode with the second highest probability is identified as the modulation mode of the ith independent user signal. For another example, part of signal S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal, wherein the 'part' can mean that the signal S 'to be measured is removed'ijpData after the maximum value and the minimum value in the symbol rate estimation result. For example, other time-frequency relationship obtaining methods in the prior art may be used to obtain the time-frequency relationship table. For example, the average value of the carrier frequencies at both sides of the jth carrier frequency after the ascending order arrangement can be used as the center frequency of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A communication reconnaissance simulation method suitable for multi-user signals is characterized by comprising the following steps:
acquiring a plurality of multi-user signals, wherein the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one;
separating the multiple multi-user signals to obtain independent user signals of each user, wherein the users correspond to the independent user signals one by one;
respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, wherein the independent user signals correspond to the time-frequency relation tables one to one;
determining a band-pass filter corresponding to the independent user signal based on a time-frequency relation table corresponding to the independent user signal;
filtering the corresponding independent user signal based on a band-pass filter to obtain each sub-carrier frequency signal of the independent user signal;
carrying out down-conversion on sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, wherein the sub-carrier frequency signals correspond to the baseband signals one to one;
and carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
2. The method of claim 1, wherein the separating the plurality of multi-user signals to obtain an individual user signal for each user comprises:
and separating the plurality of multi-user signals through an independent component analysis algorithm to obtain an independent user signal of each user.
3. The method of claim 1, wherein transforming the separated independent user signals of each user to obtain a time-frequency relationship table of each independent user signal comprises:
and respectively transforming the separated independent user signals of each user through short-time Fourier transform to obtain a time-frequency relation table of each independent user signal.
4. The method of claim 1, wherein determining the band-pass filter corresponding to the isolated user signal based on the time-frequency relationship table corresponding to the isolated user signal comprises:
determining the jth carrier frequency of the ith independent user signal based on the time-frequency relation table of the ith independent user signal, and recording as fijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal;
the ith independent userThe carrier frequencies at which the signals occur are arranged in ascending order, and fi(j+1)-fi(j-1)]2 is denoted as fimin;
Will f isijAnd fiminRespectively as the center frequency and bandwidth of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
5. The method of claim 1, wherein the performing modulation scheme identification and symbol rate estimation for each individual user signal with the corresponding baseband signal comprises:
time-frequency relation table H based on ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, …, K, p is 1,2, …, L is the number of times of the j sub-carrier frequency signals in the i independent user signal detection period;
determining the user signal duration T in the jth sub-carrier signalijpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmam;
Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying all signals S 'to be measured of the ith independent user signal by adopting a modulation mode based on spectral line characteristics'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal;
to signal S 'to be measured'ijpEstimating symbol rate by adopting a cyclic autocorrelation method, and obtaining all signals S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
6. A communication reconnaissance simulation system adapted for a multi-user signal, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring a plurality of multi-user signals, the multi-user signals are signals received by a plurality of scout receivers from different directions, and the multi-user signals correspond to the scout receivers one to one;
the separation module is used for separating the plurality of multi-user signals to obtain an independent user signal of each user, and the users correspond to the independent user signals one to one;
the transformation module is used for respectively transforming the separated independent user signals of each user to obtain a time-frequency relation table of each independent user signal, and the independent user signals correspond to the time-frequency relation tables one to one;
the determining module is used for determining the band-pass filter corresponding to the independent user signal based on the time-frequency relation table corresponding to the independent user signal;
the filtering module is used for filtering the corresponding independent user signal based on the band-pass filter to obtain each sub-carrier frequency signal of the independent user signal;
the down-conversion module is used for carrying out down-conversion on the sub-carrier frequency signals of each independent user signal to obtain corresponding baseband signals, and the sub-carrier frequency signals correspond to the baseband signals one to one;
and the identification estimation module is used for carrying out modulation mode identification and symbol rate estimation on each independent user signal by using the corresponding baseband signal.
7. The system of claim 6, wherein the separation module is specifically configured to:
and separating the plurality of multi-user signals through an independent component analysis algorithm to obtain an independent user signal of each user.
8. The system of claim 6, wherein the transformation module is specifically configured to:
and respectively transforming the separated independent user signals of each user through short-time Fourier transform to obtain a time-frequency relation table of each independent user signal.
9. The system of claim 6, wherein the determination module is specifically configured to:
determining the jth carrier frequency of the ith independent user signal based on the time-frequency relation table of the ith independent user signal, and recording as fijWherein j is 1,2, and K is the total number of carriers used by the ith independent user signal;
arranging the carrier frequencies of the ith independent user signal in ascending order, and arranging fi(j+1)-fi(j-1)]2 is denoted as fimin;
Will f isijAnd fiminRespectively as the center frequency and bandwidth of the jth sub-carrier frequency signal band-pass filter of the ith independent user signal.
10. The system of claim 6, wherein the identification estimation module is specifically configured to:
time-frequency relation table H based on ith independent user signaliObtaining the duration time T of the user signal corresponding to the jth sub-carrier frequency signalijpWherein j is 1,2, …, K, p is 1,2, …, L is the number of times of the j sub-carrier frequency signals in the i independent user signal detection period;
determining the user signal duration T in the jth sub-carrier signalijpThe duration of the user signal, denoted as T, of the signal having the longest duration and not exceeding the preset timeijmax;
Will have a duration of TijmaxThe baseband signal is used as a signal S 'to be measured corresponding to the jth sub-carrier frequency signal'ijpAnd comparing signal S 'to be measured'ijpIdentifying all signals S 'to be measured of the ith independent user signal by adopting a modulation mode based on spectral line characteristics'ijpIdentifying the modulation mode with the maximum probability as the modulation mode of the ith independent user signal;
to signal S 'to be measured'ijpEstimating symbol rate by adopting a cyclic autocorrelation method, and obtaining all signals S 'to be measured'ijpThe average value of the symbol rate estimation results is used as the symbol rate of the ith independent user signal.
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