CN115166642B - Radar signal sorting method with PRI being pseudo-random jitter sequence - Google Patents
Radar signal sorting method with PRI being pseudo-random jitter sequence Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/28—Details of pulse systems
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Abstract
The invention provides a radar signal sorting method for PRI as a pseudo-random dithering sequence, which comprises the steps of reading radar original PDW signals with a certain time length, which are detected by an electronic reconnaissance system, preprocessing the PDW signals to obtain pulse PDW subclasses, analyzing the subclasses to obtain PRI sequences, constructing a time axis with the same time length based on required accuracy, filling the time axis based on the PRI sequences and the pulses, sequentially carrying out autocorrelation and filtering processing on the obtained sequences, solving the maximum value, obtaining a difference value sequence of the maximum value position sequence, analyzing and counting the difference value sequence to obtain skeleton periods of the PRI pseudo-random dithering sequence, intercepting the PDW signals by utilizing the high-precision skeleton periods, realizing high-precision sorting of large-range PRI types as pseudo-random dithering radar signals, solving the problem of difficult sorting of dithering signals, and improving the analysis and processing capacity of radar signals with low interception complex systems.
Description
Technical Field
The invention relates to the technical field of radar signal sorting, in particular to a radar signal sorting method with PRI being a pseudo-random jitter sequence.
Background
In modern battlefield, radar signals detected by an electronic reconnaissance system are complex random overlapped pulse signals generated by a plurality of radar radiation sources, and signal sorting is a process of separating and extracting pulse signals of the same radar from complex signal pulse streams detected by a reconnaissance receiver.
The signal sorting generally comprises two processing processes, namely preprocessing and sorting, wherein the preprocessing is to perform pulse clustering on an original pulse stream by utilizing parameters such as a signal arrival Direction (DOA), a carrier frequency (RF) and the like, so as to finish the primary separation of a plurality of radar signals; the sorting is mainly to perform inter-pulse association processing on the clustering result, and at present, the sorting is mainly based on a Pulse Repetition Interval (PRI) sorting mode, and common algorithms include a PRI searching method, an accumulated difference histogram method (CDIF), a sequence difference histogram method (SDIF) and the like. However, the algorithms have obvious limitations, the CDIF algorithm needs to calculate multi-level difference values, the calculated amount is large, and the pulse sequence sorting capability for the PRI jitter range is poor; the SDIF method is developed on the basis of CDIF method, and has the advantages of small calculated amount, high accuracy and the like, but the algorithm has poor harmonic suppression capability and can not sort pulse sequences with larger jitter range.
Currently, radar systems gradually develop toward a low detectable direction, the types of PRI variation of radar signals are not limited to traditional simple patterns of fixing, dispersion, sliding, group variation and the like, and more radars adopt pulse signals with large-range jitter to reduce the sortability of the pulse signals. Meanwhile, considering the realizability of radar pulse pattern design, the real PRI random jitter sequence is very difficult to realize in engineering, most PRI jitter sequences of radar signals adopt a pseudo-random mode, and a longer repetition period exists, namely, the skeleton period of the PRI pseudo-random sequence; aiming at the radar signal with the PRI with the skeleton period as a jitter sequence, a new method is required to be provided so as to meet the actual engineering requirements.
Disclosure of Invention
In order to solve the problems, the invention provides a radar signal sorting method with PRI as a pseudo-random dithering sequence, which aims at the problem that the PRI of a radar signal is the pseudo-random dithering sequence, and the PRI pseudo-random dithering sequence skeleton period high-precision extraction technology is utilized to finish the sorting of the PRI of a large-range dithering sequence, so that the problem of difficult sorting of the large-range dithering signal is solved, and the analysis processing capacity of a radar signal with a low interception complex system is improved.
The invention provides a radar signal sorting method with PRI as a pseudo-random jitter sequence, which comprises the following specific technical scheme:
S1: determining a maximum framework period C max index of the electronic reconnaissance system, wherein the signal sorting capability requirement of the electronic reconnaissance system is adapted to a shaking signal;
s2: reading radar original PDW signals with the time length of T 0 detected by an electronic reconnaissance system, and preprocessing the PDW signals to obtain pulse PDW subclasses;
s3: analyzing and processing each pulse PDW subclass to obtain a PRI sequence of the group of pulses;
s4: determining the precision epsilon of the signal sorting capability of the electronic reconnaissance system for the periodic reference of the shaking signal skeleton, and constructing a time axis with the length of T 0;
S5: putting the PRI sequence and the pulse width PW i corresponding to each pulse into a constructed time axis with the time length of T 0, and filling time slots in the time axis to obtain a filled sequence m;
S6: the obtained sequence m is subjected to autocorrelation and the correlation result is subjected to filtering treatment, obtaining a filtered correlation result R 0 (i) (i=1, 2., m);
S7: obtaining maximum values in the sequence R 0 (i), and recording the position of each maximum value in the sequence R 0 (i) to obtain a maximum value position sequence n;
S8: calculating the difference value between adjacent elements of the maximum position sequence n to obtain a difference value sequence p of the sequence n, and analyzing and counting the sequence p to obtain a skeleton period C of the PRI pseudo-random jitter sequence;
S9: taking the skeleton period C as a step length, taking the arrival time of the first pulse of the pulse PDW subclass corresponding to the analysis of the current group as a starting time, cutting off the PDW signal of the current group, and counting the number of pulses contained in each cut PDW;
S10: repeating steps S5-S9 until the analysis of all sets of pulse signals is completed.
Further, in step S2, the read signal time T 0 is at least 2 times greater than C max.
Further, in step S2, the preprocessing includes obtaining a pulse signal receiving direction and a pulse signal carrier frequency, performing pulse clustering on an original pulse stream according to the obtained parameters, and dividing a plurality of overlapped radar signals into independent pulse PDW subclasses, so as to complete primary separation of the signals.
Further, each pulse PDW subclass corresponds to only one radar signal.
Further, in step S3, the analysis process is as follows:
The arrival time of the ith pulse in the group is TOA i, the arrival time interval delta TOA i＝TOAi-TOAi-1 (i > 1) of the adjacent pulses in the group is sequentially obtained, and the delta TOA i sequence is the PRI sequence of the pulses in the group.
Further, in the PRI sequence, the arrival time interval Δtoa 1 =0 of the first pulse.
Further, in step S4, a time axis with a length of T 0 is constructed with an accuracy epsilon as the minimum step time slot.
Further, in step S5, the time slots having the pulse arrival are filled with "1", and the time slots having no pulse arrival are filled with "0".
Further, in step S6, the specific process is as follows:
s601: autocorrelation of the resulting sequence m, resulting in correlation result R i (i=1, 2,..2 m) of length 2 m;
S602: fitting the correlation results obtained to obtain continuous component C i (i=1, 2,., m) in R i;
S603: constructing window functions By the formula:
R0(i)＝U[R(i)-C(i)],i＝1,2,....,m
The filtered correlation result R 0 (i) (i=1, 2,..m) was obtained.
Further, in step S8, the skeleton period C of the PRI pseudo-random jitter sequence is the value with the largest duty ratio in the value distribution of the difference sequence p.
The beneficial effects of the invention are as follows:
The method comprises the steps of accumulating and extracting a skeleton period of a PRI pseudo-random jitter sequence for a long time, reading radar original PDW signals with a certain time length detected by an electronic reconnaissance system, preprocessing the PDW signals to obtain pulse PDW subclasses, analyzing the subclasses to obtain the PRI sequence, constructing a time axis with the same time length based on required accuracy, filling the time axis based on the PRI sequence and the pulse, sequentially carrying out autocorrelation and filtering processing on the obtained sequence, solving a maximum value, finally obtaining a difference value sequence of a maximum value position sequence, and carrying out analysis statistics on the difference value sequence to obtain the skeleton period of the PRI pseudo-random jitter sequence;
The signal PDW is truncated by utilizing a high-precision skeleton period, so that the high-precision sorting of the large-range PRI type pseudo-random jittering radar signals is realized, the problem of difficult sorting of the jittering signals is solved, and the analysis processing capacity of the radar signals with low interception complex systems is improved.
Drawings
FIG. 1 is a schematic overall flow diagram of the method of the present invention;
FIG. 2 is a diagram of the pulse train quantization timeline according to embodiment 1 of the present invention;
FIG. 3 is a schematic flow chart of the algorithm of the embodiment 1 of the present invention;
FIG. 4 is a schematic diagram of pulse sub-class pulse TOA according to embodiment 1 of the present invention;
Fig. 5 is a diagram of a PRI histogram of a space-time search radar signal in accordance with embodiment 1 of the present invention;
FIG. 6 is a schematic diagram of the sorting result of example 1 of the present invention.
Detailed Description
In the following description, the technical solutions of the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The embodiment 1 of the invention discloses a radar signal sorting method with PRI as a pseudo-random jitter sequence, which is shown in fig. 1 and 3, and comprises the following specific steps:
S1: determining a maximum framework period C max index of the electronic reconnaissance system, wherein the signal sorting capability requirement of the electronic reconnaissance system is adapted to a shaking signal;
Because the pulse length and the algorithm calculation amount which are required to be accumulated by the algorithm are different for the framework periods in different ranges, a processing system can be built for C max with different time lengths in a resource stacking mode in actual use.
S2: reading a radar original PDW signal with the time length of T 0 detected by an electronic reconnaissance system, and preprocessing the PDW signal; all radar raw PDW signals with the time length of T 0 are recorded as a group, and the pulse PDW subclass is obtained.
In this embodiment, the read signal time T 0 is at least 2 times greater than C max.
In this embodiment, the pretreatment process is as follows:
acquiring a pulse signal receiving Direction (DOA) and a pulse signal carrier frequency (RF), performing pulse clustering on an original pulse stream based on the two parameters, and dividing a plurality of overlapped radar signals into independent pulse PDW subclasses, wherein each subclass only corresponds to one radar signal;
In this embodiment, taking 500ms radar pulse signal PDW as an example for explanation, as shown in fig. 4, pulse clustering is performed according to the signal receiving direction DOA and the pulse signal carrier frequency RF, so as to gather the radar signals to be sorted into a pulse subclass;
Histogram analysis of pulse subclasses PRI as shown in fig. 5, it can be seen that radar signals with a PRI type of pseudo-random jitter sequence cannot be sorted by histogram analysis.
S3: analyzing and processing each pulse PDW subclass to obtain a PRI sequence of the group of pulses;
Setting the arrival time of the ith pulse in the group as TOA i, sequentially solving the arrival time interval delta TOA i＝TOAi-TOAi-1 (i > 1) of the adjacent pulses in the group, wherein delta TOA 1 =0 of the first pulse, and obtaining a delta TOA i sequence which is the PRI sequence of the pulse in the group, wherein when the signal is a jitter sequence, the PRI sequence is a large-range approximately irregular pseudo-random sequence;
The delta TOA i corresponding to the ith pulse is the arrival time of the pulse.
S4: determining the precision epsilon of the signal sorting capability of the electronic reconnaissance system for the periodic reference of the shaking signal skeleton, and constructing a time axis with the length of T 0;
In this embodiment, the time axis has a total of T 0/epsilon time slots, with epsilon being the minimum step time slot.
S5: sequentially placing the obtained arrival time interval sequence delta TOA i and the pulse width PW i corresponding to each pulse into a time axis with the time length of T 0 constructed in the step S4, filling time slots in the time axis, filling time slots with pulse arrival with '1', and filling time slots without pulse arrival with '0';
the corresponding pulse width PW i is the duration of the pulse in the time domain.
As shown in fig. 2, in the present embodiment, the filling explanation of this step is performed by taking a conventional radar signal of a certain type as an example, and the sequence m is obtained by putting all pulses on the real axis.
S6: the obtained sequence m is subjected to autocorrelation and the correlation result is subjected to filtering treatment, obtaining a filtered correlation result R 0 (i) (i=1, 2., m);
Specifically, the obtained sequence m is subjected to autocorrelation, and a correlation result R i (i=1, 2,., 2 m) with a length of 2m is obtained;
in this embodiment, since the autocorrelation result is symmetrically distributed, only the first m points of the autocorrelation result R i are reserved; i.e. removing consecutive components in the first m points of the autocorrelation result, and setting an element smaller than 0 to 0, to obtain a sequence R0.
To increase the algorithm extraction accuracy and sensitivity, R i (i=1, 2..m) is subjected to a filter process: r i can be regarded as a composite result consisting of a continuous component and a characteristic single value, wherein the characteristic single value reflects the periodic characteristics of the pseudo-random sequence in the m-sequence, and the continuous component is a part with poor correlation in the m-sequence and is removed from the result;
R i (i=1, 2,..m) was fitted by means of curve fitting, to give continuous component C i in R i (i=1, 2,., m);
Constructing window functions Then the following formula:
R0(i)＝U[R(i)-C(i)],i＝1,2,....,m
The filtered correlation result R 0 (i) (i=1, 2,..m) was obtained.
S7: obtaining maximum values in the sequence R 0 (i), and recording the position of each maximum value in the sequence R 0 (i) to obtain a maximum value position sequence n;
s8: calculating the difference value between each adjacent element of the sequence n to obtain a difference value sequence p of the sequence n, and analyzing and counting the sequence p;
the value with the largest duty ratio in the value distribution of the sequence p is the skeleton period C of the PRI pseudo-random jitter sequence;
S9: and (3) taking the first pulse TOA 1 as the starting moment and the skeleton period C as the step length of the corresponding analyzed pulse PDW subclass in the step S3, carrying out period cutting on the PDW, and counting the pulse number contained in each obtained cutting result set to obtain a value x with the highest ratio in the value distribution, wherein the PRI pattern corresponding to the subclass is x spread.
S10: repeating the steps S5-S9 until the analysis of all groups of pulse signals is completed, and outputting a sorting result;
In this example, the sorting result is shown in fig. 6.
The invention is not limited to the specific embodiments described above. The invention extends to any novel one, or any novel combination, of the features disclosed in this specification, as well as to any novel one, or any novel combination, of the steps of the method or process disclosed.
Claims (10)
1. A radar signal sorting method with a PRI being a pseudo-random dithering sequence, comprising:
S1: determining a maximum framework period C max index of the electronic reconnaissance system, wherein the signal sorting capability requirement of the electronic reconnaissance system is adapted to a shaking signal;
s2: reading radar original PDW signals with the time length of T 0 detected by an electronic reconnaissance system, and preprocessing the PDW signals to obtain pulse PDW subclasses;
s3: analyzing and processing each pulse PDW subclass to obtain a PRI sequence of the group of pulses;
s4: determining the precision epsilon of the signal sorting capability of the electronic reconnaissance system for the periodic reference of the shaking signal skeleton, and constructing a time axis with the length of T 0;
S5: putting the PRI sequence and the pulse width PW i corresponding to each pulse into a constructed time axis with the time length of T 0, and filling time slots in the time axis to obtain a filled sequence m;
S6: the obtained sequence m is subjected to autocorrelation and the correlation result is subjected to filtering treatment, obtaining a filtered correlation result R 0 (i) (i=1, 2., m);
S7: obtaining maximum values in the sequence R 0 (i), and recording the position of each maximum value in the sequence R 0 (i) to obtain a maximum value position sequence n;
S8: calculating the difference value between adjacent elements of the maximum position sequence n to obtain a difference value sequence p of the sequence n, and analyzing and counting the sequence p to obtain a skeleton period C of the PRI pseudo-random jitter sequence;
S9: taking the skeleton period C as a step length, taking the arrival time of the first pulse of the pulse PDW subclass corresponding to the analysis of the current group as a starting time, cutting off the PDW signal of the current group, and counting the number of pulses contained in each cut PDW;
S10: repeating steps S5-S9 until the analysis of all sets of pulse signals is completed.
2. The radar signal sorting method according to claim 1, characterized in that in step S2, the read signal time T 0 is at least 2 times larger than C max.
3. The radar signal sorting method according to claim 1, wherein in step S2, the preprocessing includes obtaining a pulse signal receiving direction and a pulse signal carrier frequency, performing pulse clustering on an original pulse stream according to the obtained parameters, and dividing a plurality of radar signals overlapped together into independent pulse PDW subclasses, so as to complete initial separation of the signals.
4. A radar signal sorting method according to claim 3, wherein each of the pulse PDW subclasses corresponds to only one radar signal.
5. The radar signal sorting method according to claim 1, wherein in step S3, the analysis processing is as follows:
The arrival time of the ith pulse in the group is TOA i, the arrival time interval delta TOA i＝TOAi-TOAi-1 (i > 1) of the adjacent pulses in the group is sequentially obtained, and the delta TOA i sequence is the PRI sequence of the pulses in the group.
6. The radar signal sorting method of claim 5, wherein the PRI sequence, the first pulse has an arrival time interval Δtoa 1 = 0.
7. The radar signal sorting method according to claim 1, wherein in step S4, a time axis of length T 0 is constructed with accuracy epsilon as a minimum step time slot.
8. The radar signal sorting method according to claim 1, characterized in that in step S5, the time slots with pulse arrivals are filled with "1" S and the time slots without pulse arrivals are filled with "0" S.
9. The radar signal sorting method according to claim 1, characterized by step S6, comprising the following steps:
s601: autocorrelation of the resulting sequence m, resulting in correlation result R i (i=1, 2,..2 m) of length 2 m;
S602: fitting the correlation results obtained to obtain continuous component C i (i=1, 2,., m) in R i;
S603: constructing window functions By the formula:
R0(i)＝U[R(i)-C(i)],i＝1,2,....,m
The filtered correlation result R 0 (i) (i=1, 2,..m) was obtained.
10. The radar signal sorting method according to claim 1, wherein in step S8, the skeleton period C of the PRI pseudo-random dithering sequence is the value with the largest duty ratio in the value distribution of the difference sequence p.
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| CN104181522A (en) * | 2014-08-22 | 2014-12-03 | 中国科学院空间科学与应用研究中心 | Real-time chaos pseudo-random signal radar receiving and transmitting system |
| CN108535703A (en) * | 2017-03-06 | 2018-09-14 | 霍尼韦尔国际公司 | The anti-locking system of signal interference for frequency modulation continuous wave radar altimeter |
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| CN104181522A (en) * | 2014-08-22 | 2014-12-03 | 中国科学院空间科学与应用研究中心 | Real-time chaos pseudo-random signal radar receiving and transmitting system |
| CN108535703A (en) * | 2017-03-06 | 2018-09-14 | 霍尼韦尔国际公司 | The anti-locking system of signal interference for frequency modulation continuous wave radar altimeter |
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