CN113065808B - Method, equipment and storage medium for simulating reporting rate index of electronic reconnaissance data - Google Patents
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Abstract
The invention discloses a method, equipment and a storage medium for simulating reporting rate index of electronic reconnaissance data, wherein the method comprises the following steps: s1, acquiring test data: collecting the reported data of the scout result of the scout equipment on the radiation source target, and counting the time interval of the reported data; s2, screening test data: rejecting abnormal reported data according to the time interval; s3, simulating and generating a time interval by using an inverse transformation method: and performing reverse modeling on the data reporting rate index of the reconnaissance equipment under the condition of single target stable interception by using an inverse transformation method. The invention can avoid the complex forward modeling process of links such as scanning, signal interception, sorting and identification of the electronic reconnaissance antenna, can truly simulate the reporting condition of the electronic reconnaissance data rate, and can support the subsequent calculation of multi-station cooperative positioning so as to improve the overall fidelity of modeling simulation of the electronic reconnaissance equipment, thereby providing more credible model calculation support for the business application of upper-layer combat scheme evaluation and the like.
Description
Technical Field
The invention relates to the technical field of computer simulation, in particular to a modeling and simulation technology for reporting rate indexes of electronic reconnaissance data in the field of electronic countermeasure digital simulation.
Background
In the existing simulation technologies for outputting and reporting the scout result data for electronic scout, one is to judge whether a radiation source signal meets signal interception conditions such as a frequency domain, an airspace (azimuth, elevation, visual range and the like), an energy domain (sensitivity) and the like, and when the signal meets the interception conditions, an electronic scout equipment model outputs the scout result data at each simulation step length; the other is the behavior of adding the scanning of the radar antenna and the scanning of the antenna of the electronic reconnaissance equipment under the condition of meeting the interception condition, and under the condition, the reporting rate of the data is related to the scanning rules of the antennas of the two parties.
However, under the condition of meeting the signal interception, the data rate of the output and the reported interception result of the electronic reconnaissance equipment is not only related to the antenna scanning. After the radiation source signal reaches the receiver sensitivity through space transmission, the processes of signal sorting, identification, data processing and the like are carried out, and finally the reconnaissance result is reported to a superior information system, so that the whole processing link is complex. Errors and uncertainties may exist in each transmission or processing link, and the processes are often simplified in the simulation modeling process, so that the data rate of the reconnaissance result actually reported by the electronic reconnaissance equipment cannot correspond to the conclusion of theoretical analysis.
Disclosure of Invention
In order to solve the problems, the invention provides a method, equipment and a storage medium for simulating the reporting rate index of electronic reconnaissance data on the basis of collecting outfield test data of the electronic reconnaissance equipment, wherein the method is used for carrying out black box modeling on the data, can avoid the complex forward modeling process of each link of scanning, signal interception, sorting, identification, data processing, reporting and the like of an electronic reconnaissance antenna, can truly simulate the reporting condition of the electronic reconnaissance data rate, and can support the subsequent calculation of multi-station cooperative positioning so as to improve the overall fidelity of modeling simulation of the electronic reconnaissance equipment, thereby providing more credible model calculation support for business applications such as upper-layer operational scheme evaluation and the like.
The technical scheme adopted by the invention is as follows:
a method for simulating reporting rate index of electronic reconnaissance data comprises the following steps:
s1, acquiring test data: collecting the reported data of the scout result of the scout equipment on the radiation source target, and counting the time interval of the reported data;
s2, screening test data: rejecting abnormal reported data according to the time interval;
s3, simulating and generating a time interval by using an inverse transformation method: and performing reverse modeling on the data reporting rate index of the reconnaissance equipment under the condition of single target stable interception by using an inverse transformation method.
Further, step S2 includes the following sub-steps:
s21, sequencing the time intervals from small to large to obtain a time interval sequence, recording the time interval sequence as t, and assuming that m data elements are in total, namely:
t＝(t1,t2,…,tm)
wherein:
tk≤tk+1,k＝1,2,…,m-1
s22, time interval tiWherein i is more than or equal to 1 and less than or equal to m, and counting the occurrence times of the i to carry out probability distribution statistics to obtain a probability distribution sequence p:
p＝(p1,p2,…,pm)
s23, setting a threshold PtWhen the following formula is satisfied, only the first n data in the time interval sequence t are determined to be valid:
removing m-n data behind the time interval sequence t to obtain a new sequence consisting of n data, wherein n is less than or equal to m, and the screened time interval sequence t and the probability distribution sequence p thereof are as follows:
t＝(t1,t2,…,tn)
p＝(p1,p2,…,pn)。
further, step S3 includes the following sub-steps:
s31, analyzing the probability distribution function of the screened time interval sequence t, and recording the probability distribution function as p ═ P (t), wherein t ═ P (t)1,t2,…,tn)，p＝(p1,p2,…,pn)；
S32, obtaining a cumulative distribution function according to the probability distribution function, and recording the cumulative distribution function as f (f) (t)
S33, generating a random number U which is subject to uniform distribution, namely
U～unif(0,1)
Substituting the random number U into the probability distribution function and the cumulative distribution function to obtain:
P(F-1(U)≤t)＝P(U≤F(t))＝F(t)
s34, substituting the generated random number U into an inverse function of the cumulative distribution function to obtain a time interval T consistent with an actual data distribution rule, wherein the corresponding mathematical relation is as follows:
T＝F-1(U)＝inf{t:F(t)＝U}。
further, in step S32, due to various errors and uncertainties, the collected test data does not necessarily follow a mathematical distribution, and the actual time interval is composed of discrete small data, so that the corresponding relation table R ═ t, f } of the time interval and the cumulative distribution function value f is calculated, where:
t＝(t1,t2,…,tn)
f＝(f1,f2,…,fn)。
further, in step S34, since the cumulative distribution function is discrete and irregular, it is impossible to perform inverse analysis by using a mathematical expression, and the actual time interval itself is relatively small in scale, a table lookup method is adopted to directly query the corresponding relationship table R ═ t, f, and when f ═ U, the corresponding time interval is the analog data to be obtained.
Further, in step S1, the key data records in the reported data include creation time, capture sensor, and radiation source target.
A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method for simulating the report rate index of the electronic reconnaissance data when executing the computer program.
A computer-readable storage medium, storing a computer program which, when executed by a processor, implements the steps of the above-described method for simulating an electronic reconnaissance data reporting rate indicator.
The invention has the beneficial effects that:
(1) the method can truly reflect the data rate reporting condition of the electronic reconnaissance equipment under the condition of stable interception of a single target, replaces the errors of unknown transmission and processing links in a black box counting mode, and avoids the complex simulation of the electronic reconnaissance signal transmission and processing link;
(2) the real simulation of the data rate index of the electronic reconnaissance equipment plays a supporting role in the subsequent multi-station cooperative positioning calculation, so that the overall fidelity of the modeling simulation of the electronic reconnaissance equipment is improved, and more credible model calculation support is provided for business application such as upper-layer combat scheme evaluation.
Drawings
FIG. 1 is a flow chart of a method for simulating reporting rate index of electronic scout data according to the present invention;
FIG. 2 is a flow chart of the present invention for simulating generation intervals using an inverse transformation method;
FIG. 3 time interval raw data example;
FIG. 4 probability distributions for time intervals;
FIG. 5 simulates a probability distribution of data;
FIG. 6 probability distribution of the outfield test data.
Detailed Description
In order to more clearly understand the technical features, objects, and effects of the present invention, specific embodiments of the present invention will now be described. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
As shown in fig. 1, the present embodiment provides a method for simulating an reporting rate index of electronic scout data, which includes the following three steps:
s1, acquiring test data: and collecting the reported data of the scout result of the scout equipment on the radiation source target, and counting the time interval of the reported data. Preferably, the key data records in the reported data include creation time, interception sensor and radiation source target.
S2, screening test data: and rejecting abnormal reported data according to the time interval. In practice, there may be situations where there is no reported data for a long time, which may not be detected because the radiation source is too far away from the electronic detection equipment, but may be due to several reasons:
1) temporarily shutting down the radiation source;
2) the antenna of the electronic reconnaissance equipment points to other task airspace;
3) the frequency scanning range of the electronic reconnaissance equipment is shifted to other frequency bands.
Therefore, during the equipment executing the task, the real data reporting rate for a specific target is desired, and it should be assumed that none of the above situations exist, i.e. the data reporting rate is only related to the antenna scanning of both friend and foe and some errors (systematic errors, random errors). When some cases of long time of "break" occur, the normal range is considered to be exceeded, and the condition should be excluded.
Specifically, the screening of test data comprises the following substeps:
s21, sequencing the time intervals from small to large to obtain a time interval sequence, recording the time interval sequence as t, and assuming that m data elements are in total, namely:
t＝(t1,t2,…,tm)
wherein:
tk＜tk+1,k＝1,2,…,m-1
s22, time interval tiWherein i is more than or equal to 1 and less than or equal to m, and counting the occurrence times of the i to carry out probability distribution statistics to obtain a probability distribution sequence p:
p＝(p1,p2,…,pm)
s23, setting a threshold PtWhen the following formula is satisfied, only the first n data in the time interval sequence t are determined to be valid:
removing m-n data behind the time interval sequence t to obtain a new sequence consisting of n data, wherein n is less than or equal to m, and the screened time interval sequence t and the probability distribution sequence p thereof are as follows:
t＝(t1,t2,…,tn)
p＝(p1,p2,…,pn)。
s3, simulating and generating a time interval by using an inverse transformation method: and performing reverse modeling on the data reporting rate index of the reconnaissance equipment under the condition of single target stable interception by using an inverse transformation method. Specifically, as shown in fig. 2, the method includes the following sub-steps:
s31, analyzing the probability distribution function of the screened time interval sequence t, and recording the probability distribution function as p ═ P (t), wherein t ═ P (t)1,t2,…,tn)，p＝(p1,p2,…,pn)；
S32, obtaining a cumulative distribution function according to the probability distribution function, and recording the cumulative distribution function as f (f) (t)
It should be noted that, due to various errors and uncertainties, the collected test data does not necessarily follow a mathematical distribution, that is, cannot be expressed by a mathematical equation, and the actual time interval is composed of a small amount of discrete data, so that a corresponding relationship table R ═ t, f } of the time interval and the cumulative distribution function value f needs to be calculated, where:
t＝(t1,t2,…,tn)
f＝(f1,f2,…,fn)
s33, generating a random number U which is subject to uniform distribution, namely
U～unif(0,1)
Substituting the random number U into the probability distribution function and the cumulative distribution function to obtain:
P(F-1(U)≤t)＝P(U≤F(t))F(t)
s34, theoretically, substituting the generated random number U into the inverse function of the cumulative distribution function to obtain a time interval T consistent with the actual data distribution rule, wherein the corresponding mathematical relationship is as follows:
T＝F-1(U)＝inf{t:F(t)＝U}。
as analyzed above, since the cumulative distribution function is discrete and irregular, it is impossible to perform inverse analysis by a mathematical expression, and the actual time interval itself is relatively small in scale, a table lookup method is adopted to directly query in the correspondence table R ═ t, f, and when f ═ U, the corresponding time interval is the analog data to be obtained.
Example 2
This example is based on example 1:
a) firstly, acquiring equipment external field test data, and counting the reported data time interval of a certain type of reconnaissance equipment on a certain type of target, as shown in fig. 3;
b) the time intervals in fig. 3 are sorted in the order from small to large, and probability statistics are performed as shown in fig. 4;
c) data with a relatively large time interval value in fig. 4 is discarded, and then a random time interval is generated by the inverse transformation method of embodiment 1, and the process is repeated 1000 times. The probability distribution statistics are performed on the obtained time intervals, as shown in fig. 5, and it can be seen from fig. 6 that the probability distribution of the simulated data is consistent with that of the experimental data.
Example 3
This example is based on example 1:
this embodiment provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method for simulating the report rate index of electronic scout data in embodiment 1 when executing the computer program.
Example 4
This example is based on example 1:
this embodiment provides a computer-readable storage medium storing a computer program, which when executed by a processor implements the steps of the method for simulating an electronic reconnaissance data reporting rate indicator of embodiment 1.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A method for simulating reporting rate index of electronic reconnaissance data is characterized by comprising the following steps:
s1, acquiring test data: collecting the reported data of the scout result of the scout equipment on the radiation source target, and counting the time interval of the reported data;
s2, screening test data: rejecting abnormal reported data according to the time interval;
s3, simulating and generating a time interval by using an inverse transformation method: reverse modeling is carried out on the data reporting rate index of the reconnaissance equipment under the condition of single target stable interception by using an inverse transformation method;
step S3 includes the following substeps:
s31, analyzing the probability distribution function of the screened time interval sequence t, and recording the probability distribution function as p ═ P (t), wherein t ═ P (t)1，t2，…，tn)，p＝(p1，p2，…，pn)；
S32, obtaining a cumulative distribution function according to the probability distribution function, and recording the cumulative distribution function as f (f) (t)
F(t)＝P(T≤t)＝∫0 tP(T)dT
S33, generating a random number U which is subject to uniform distribution, namely
U～unif(0，1)
Substituting the random number U into the probability distribution function and the cumulative distribution function to obtain:
P(F-1(U)≤t)＝P(U≤F(t))＝F(t)
s34, substituting the generated random number U into an inverse function of the cumulative distribution function to obtain a time interval T consistent with an actual data distribution rule, wherein the corresponding mathematical relation is as follows:
T＝F-1(U)＝inf{t：F(t)＝U}；
in step S32, because there are various errors and uncertainties, the collected test data does not necessarily follow a mathematical distribution, and the actual time interval is composed of a small amount of discrete data, so that the correspondence table R ═ t, f } of the time interval and the cumulative distribution function value f is calculated, where:
t＝(t1，t2，…，tn)
f＝(f1，f2，…，fn)；
in step S34, since the cumulative distribution function is discrete and irregular, it is impossible to perform inverse analysis by using a mathematical expression, and the actual time interval itself is relatively small in scale, a table lookup method is used to directly query in the correspondence table R ═ t, f, and when f ═ U, the corresponding time interval is the analog data to be obtained.
2. The method according to claim 1, wherein step S2 comprises the following sub-steps:
s21, sequencing the time intervals from small to large to obtain a time interval sequence, recording the time interval sequence as t, and assuming that m data elements are in total, namely:
t＝(t1，t2，…，tm)
wherein:
tk＜tk+1，k＝1，2，…，m-1
s22, time interval tiWherein i is more than or equal to 1 and less than or equal to m, and counting the occurrence times of the i to carry out probability distribution statistics to obtain a probability distribution sequence p:
p＝(p1，p2，…，pm)
s23, setting a threshold PtWhen the following formula is satisfied, only the first n data in the time interval sequence t are determined to be valid:
removing m-n data behind the time interval sequence t to obtain a new sequence consisting of n data, wherein n is less than or equal to m, and the screened time interval sequence t and the probability distribution sequence p thereof are as follows:
t＝(t1，t2，…，tn)
p＝(p1，p2，…，pn)。
3. the method of claim 1, wherein in step S1, the key data records in the reported data include creation time, interception sensor and radiation source target.
4. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program implements the steps of the method for simulating an electronic reconnaissance data reporting rate indicator of any of claims 1 to 3.
5. A computer-readable storage medium, storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method for simulating an electronic reconnaissance data reporting rate indicator of any of claims 1 to 3.
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