Detection scene simulation system based on radar signal sorting and positioning

The radar signal simulation system addresses the challenges of costly and risky real-world operations by simulating and accurately locating radar signals in complex electromagnetic environments, improving radar system analysis and detection efficiency.

CN120314892APending Publication Date: 2025-07-15NAT UNIV OF DEFENSE TECH
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Patent Information

Application Number
CN202510295382.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-13
Publication Date
2025-07-15

AI Technical Summary

Technical Problem

Existing radar detection systems rely on hardware equipment and on-site operations, are costly and difficult to simulate complex and changeable environments, and are difficult to efficiently and accurately process and locate radar signals.

Method used

It provides a detection scenario simulation system based on radar signal sorting and positioning, including a signal interception module, a pulse description word generation module, a signal sorting module and a direction finding cross-positioning module. Through signal interception, accurate analysis and accurate positioning, effective management and evaluation of radar signals are realized.

Benefits of technology

It realizes efficient signal processing and accurate positioning in complex electromagnetic environments, reduces the impact of interference signals, enhances the resolution capabilities of the radar detection system, and provides reliable positioning information and experimental data evaluation, which promotes the optimization of radar detection technology.

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Abstract

The invention provides a detection scene simulation system based on radar signal sorting and positioning, which belongs to the technical field of radar detection and comprises a signal interception module, a pulse description word generation module, a signal sorting module and a direction-finding cross positioning module. In a radar detection process, a signal interception module is started, a signal from a radar radiation source is received, whether an interception condition is met or not is judged, and a waveform and a target signal are recorded if the interception condition is met. Then, the pulse description word generation module processes the intercepted signals to generate accurate pulse description words and time-frequency domain parameters; and then the signal sorting module further screens and classifies the signals by using the set sorting parameters and a signal identification sorting algorithm. And then, the direction-finding cross positioning module performs association and positioning calculation based on the sorting result. According to the method, the target signal can be quickly identified in a complex electromagnetic environment, the influence of interference signals is reduced, and the signal analysis capability of a radar detection system is enhanced.
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Description

Technical Field

[0001] The present invention relates to the field of radar detection technology, and particularly to a detection scenario simulation system based on radar signal sorting and positioning. Background Art

[0002] In the process of radar detection, the interception, analysis, and positioning of signals are key links. Existing detection systems often rely on actual hardware devices and on-site operations, which are costly, risky, and difficult to simulate complex and variable environments. Traditional detection means are difficult to efficiently and accurately process and position radar signals in the face of complex electromagnetic environments. With the continuous development of electronic technology, the performance requirements for radar detection systems are increasing day by day. There is a need for a simulation experiment system that can simulate real scenarios, accurately analyze signals, and provide reliable positioning results to assist training and technical research. Summary of the Invention

[0003] In view of the deficiencies of the prior art, the present invention proposes a detection scenario simulation system based on radar signal sorting and positioning, which can effectively intercept, accurately analyze, and accurately position radar signals to effectively manage and evaluate experimental data and meet the needs of radar detection technology training or research.

[0004] In a first aspect, the present invention provides a detection scenario simulation system based on radar signal sorting and positioning, including: a signal interception module, a pulse description word generation module, a signal sorting module, and a direction finding and cross-positioning module;

[0005] The signal interception module is configured to calculate the energy value of the radar signal reaching the receiving end based on environmental parameters and determine whether it meets a preset detection condition based on the energy value. When the preset detection condition is met, a target signal is generated and sent to the pulse description word generation module;

[0006] The pulse description word generation module is configured to receive the target signal and generate a pulse description word of time-frequency domain parameters and time-frequency domain error parameters and send it to the signal sorting module;

[0007] The signal sorting module is configured to receive the pulse description word and use a signal recognition and sorting algorithm based on the sorting parameters of the pulse description word to identify and classify signals to obtain a sorting result;

[0008] The direction finding and cross-positioning module is configured to receive the sorting result and perform direction finding and cross-positioning calculations to obtain a positioning result.

[0009] According to the detection scenario simulation system based on radar signal sorting and positioning, the signal interception module includes:

[0010] A receiving unit, configured to receive radar signals from a radar radiation source;

[0011] A signal analysis unit, configured to calculate the energy value of a radar signal reaching the receiving end in the time, frequency, space, and energy domains based on the operating parameters of the detection device and the natural environment parameters, and determine whether the radar signal meets the preset detection conditions by using a detection algorithm based on the energy value; after intercepting the radar signal that meets the detection conditions, transfer it to a pulse description word generation module.

[0012] According to the detection scenario simulation system based on radar signal sorting and positioning, the signal sorting module includes: a feature generation unit, a signal sorting unit, a target discrimination unit, and a database identification unit.

[0013] The feature generation unit is configured to perform operations of full-pulse parameter generation, video waveform generation, intermediate-frequency waveform generation, intermediate-frequency pulse spectrum generation, frequency modulation characteristic generation, and phase modulation characteristic generation in sequence according to the pulse description word, so as to obtain multi-dimensional feature information of the target signal;

[0014] The signal sorting module is configured to perform histogram sorting on the received target signals based on the multi-dimensional feature information according to the generated features, obtain a preliminary identification result, and send it to the new target discrimination unit;

[0015] The target discrimination unit is configured to determine whether the target data is a new target to obtain a discrimination result. If the discrimination result is no, that is, the signal is an identified old target, then update the detection parameters of the old target; if the discrimination result is yes, that is, the signal is a new target, send it to the database identification unit;

[0016] The database identification unit is configured to input the new target signal into the main threat library for identification. If the main threat library can identify it, calculate the credibility, and obtain the data in the threat library to generate a sorting result; if it cannot be identified, input it into the secondary radar library for identification. If the secondary radar library can identify it, calculate the credibility, obtain the data in the threat library to generate a sorting result; if it cannot be identified, calculate the credibility, and obtain the conventional data of the signal to generate a sorting result by batch processing.

[0017] According to the detection scenario simulation system based on radar signal sorting and positioning, it further includes: a comparison module, configured to receive the positioning result and compare it with the historical experimental result data to obtain a comparison result, where the comparison result includes conclusion data differences and data scores.

[0018] According to the detection scenario simulation system based on radar signal sorting and positioning, it further includes: a report generation module, configured to receive the comparison result to complete the export of the system simulation result, and output the evaluation result as an experimental report.

[0019] According to the detection scenario simulation system based on radar signal sorting and positioning, the time-frequency domain parameters include: pulse arrival time, pulse carrier frequency, pulse width, and the pulse description word of the pulse arrival angle.

[0020] According to the detection scenario simulation system based on radar signal sorting and positioning, the direction-finding cross-positioning calculation includes DOA estimation and DOA analysis.

[0021] According to the detection scenario simulation system based on radar signal sorting and positioning, the detection algorithm is specifically as follows:

[0022]

[0023] Rmax is the maximum operating distance of the radar detection receiver; Pt is the radar transmit power; Gt is the radar transmit antenna gain; Gr is the detection antenna gain; λ is the operating wavelength of the radar transmitter; Prmin is the sensitivity of the detection receiver; L is the receiving loss.

[0024] The detection scenario simulation system based on radar signal sorting and positioning provided by the present invention, the signal interception module synthesizes various factors and models, can accurately calculate the signal energy and screen out the targets that meet the conditions, laying a foundation for subsequent processing. The pulse description word generation module can accurately generate key parameters and errors, providing detailed information for signal feature characterization, which helps to deeply understand the signal characteristics. The signal sorting module uses the signal recognition and sorting algorithm to effectively distinguish different types of signals according to the set parameters, improving the signal processing efficiency and accuracy. In a complex electromagnetic environment, it can quickly identify target signals, reduce the influence of interference signals, and enhance the signal analysis ability of the radar detection system. It has high-efficiency signal processing and analysis capabilities and accurate positioning and performance evaluation functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0026] Figure 1 It is a schematic structural diagram of an optional detection scenario simulation system based on radar signal sorting and positioning provided by an embodiment of the present invention;

[0027] Figure 2 It is a schematic structural diagram of the working process of an optional signal sorting module provided by an embodiment of the present invention;

[0028] Figure 3It is a schematic flowchart of an optional passive cross - location of a radiation source provided by an embodiment of the present invention;

[0029] Figure 4 It is a schematic structural diagram of a locatable area provided by an embodiment of the present invention. Detailed implementation manners

[0030] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings in the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present invention without making creative efforts belong to the scope of protection of the present invention.

[0031] It should be noted that in the description of the embodiments of the present invention, the terms "include", "comprise" or any other variant thereof are intended to cover non - exclusive inclusion, such that a process, method, article or device including a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the presence of additional identical elements in the process, method, article or device including the element. The orientation or positional relationship indicated by terms such as "upper", "lower", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the system or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus cannot be understood as a limitation of the present invention. Unless otherwise clearly defined and limited, the terms "mounted", "connected" and "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the internal communication of two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0032] The terms "first", "second", etc. in the present application are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. generally belong to the same category, and do not limit the number of objects. For example, the first object can be one or more. In addition, "and / or" represents at least one of the connected objects, and the character " / " generally represents an "or" relationship between the associated objects before and after.

[0033] The following will Figure 1 - Figure 2 describe the detection scenario simulation system provided by the embodiments of the present invention based on radar signal sorting and positioning.

[0034] Figure 1 FIG. is a schematic structural diagram of an optional detection scenario simulation system provided by the embodiments of the present invention based on radar signal sorting and positioning. As Figure 1 shown, the system includes: a signal interception module, a pulse description word generation module, a signal sorting module, and a direction finding and cross-positioning module;

[0035] The signal interception module is used to calculate the energy value of the radar signal reaching the receiving end based on environmental parameters and determine whether it meets the preset interception condition based on the energy value. When the preset interception condition is met, a target signal is generated and sent to the pulse description word generation module; the target signal is the intercepted signal information.

[0036] The pulse description word generation module is used to receive the target signal and generate a pulse description word of time-frequency domain parameters and time-frequency domain error parameters and give it to the signal sorting module.

[0037] The signal sorting module is used to receive the pulse description word and perform histogram sorting based on the sorting parameters of the pulse description word to identify and classify signals and obtain a sorting result.

[0038] The direction finding and cross-positioning module is used to receive the sorting result and perform direction finding and cross-positioning calculations to obtain a positioning result.

[0039] The core of the present invention is to provide a detection scenario simulation system based on radar signal sorting and positioning. During the radar detection process, first, the signal interception module is activated to receive signals from the radar radiation source, calculate signal energy and related parameters according to its built-in model and parameters, and judge whether the interception condition is met. If it is met, the waveform and target signal are recorded. Then, the pulse description word generation module processes the intercepted signal to generate accurate pulse description words and time-frequency domain parameters. Subsequently, the signal sorting module further screens and classifies the signals using the set sorting parameters and the histogram method. After that, the direction finding and cross-positioning module performs correlation and positioning calculations based on the sorting result. During or after the experiment, the experimental data comparison module imports the experimental data and compares it with the system simulation data for scoring. Finally, the experimental data export and experimental report generation module exports the results and generates a report. Each module closely cooperates throughout the process to realize the simulation experiment of the sorting and direction finding and cross-positioning detection scenario.

[0040] Specifically, the signal interception module is used to judge whether the signal is intercepted according to the energy value of the radar signal reaching the receiving end based on environmental parameters and determine whether it meets the preset interception condition, and generate a pulse description word.

[0041] Among them, the environmental parameters include time, frequency, space, and energy domain signal parameters.

[0042] The signal interception module receives signals from the radar radiation source, calculates the energy value of the radar signal reaching the receiving end based on the working parameters of the detection device and the natural environmental parameters, forms a target signal for the target that meets the interception conditions, and then transmits the intercepted signal information to the pulse descriptor generation module.

[0043] In one embodiment, the signal interception module includes:

[0044] A receiving unit for receiving radar signals from the radar radiation source;

[0045] A signal analysis unit for calculating the energy value of the radar signal reaching the receiving end according to time, frequency, space, and energy domain based on the working parameters of the detection device and the natural environmental parameters, and judging whether the radar signal meets the preset interception conditions by using a detection algorithm based on the energy value; intercepting the radar signal that meets the interception conditions and transmitting it to the pulse descriptor generation module.

[0046] Among them, the radar signal includes carrier frequency information, azimuth information, pulse width information, pulse amplitude information, and arrival time.

[0047] In one embodiment, the detection algorithm:

[0048] The radar detection equation is:

[0049] Among them, Rmax: the maximum operating range of the radar detection receiver. Pt: the radar transmission power. Gt: the radar transmitting antenna gain. Gr: the detection antenna gain. λ: the operating wavelength of the radar transmitter. Prmin: the sensitivity of the detection receiver. L: the receiving loss.

[0050] The receiving loss is for example:

[0051] Among them, L1 is the loss of the radar transmission system feeder, L2 is the loss caused by the non-rectangular radar antenna beam, L3 is the loss caused by the non-rectangular detection antenna beam, L4 is the loss caused by the change of the detection antenna gain within the wide frequency band, L5 is the loss caused by the inconsistency between the polarization form of the detection antenna and the polarization form of the radar signal, and L6 is the loss of the detection system feeder.

[0052] The influence of the earth curvature on the detection operating range is as follows.

[0053] Assume that the antenna heights of the transmitter and the receiver are H1 and H2 respectively, then the detection direct viewing distance under the condition of considering atmospheric refraction is:

[0054]

[0055] When R s ≥R rmax , the detection range R of the radar detection receiver r =R rmax

[0056] When R s ≤R rmax , the detection range R of the radar detection receiver r =R s

[0057] Let R be the distance between the radar and the receiver, then:

[0058] When R > R s , the energy value P of the radar signal reaching the receiving end of the receiver r = 0

[0059] When R < R s and R > R rmax , the energy value P of the radar signal reaching the receiving end of the receiver r = 0

[0060] When R < R s and R < R rmax , the energy value of the radar signal reaching the receiving end of the receiver

[0061]

[0062] The radar detection receiver detects and discriminates the arriving signal, measures its parameters (carrier frequency RF, direction of arrival DOA, pulse width PW, pulse amplitude PA, and time of arrival TOA). The detected signals are classified into new targets, old targets, and re-emerging targets, and the detected targets are classified and stored in a database. For a certain signal to be detected by the detection equipment, it must meet the requirements of time alignment, frequency domain alignment, spatial domain alignment, polarization alignment, and sufficient power. For a wide-open and omnidirectional receiver, the time condition can always be met; for the spatial domain condition, only the line-of-sight needs to be achieved; for the frequency domain, only the signal needs to be within the operating frequency band of the detector; for polarization, signals with any polarization direction can be received; in terms of power, it is required that, and at this time the radar signal can reach the receiving end of the receiver. If the arriving signal meets the above conditions simultaneously, it is judged as receivable for this.

[0063] The pulse description word generation module is used to receive the signal information transmitted by the signal interception module, generate pulse description words for the pulse arrival time, pulse carrier frequency, pulse width, and pulse arrival angle, generate time-frequency domain parameters and errors, and then transmit the generated pulse description words to the signal sorting module. The signal interception module is responsible for the preliminary interception and energy calculation of signals, and transmits the interception results as input data to the pulse description word generation module to generate detailed pulse description words. The pulse description words generated by the pulse description word generation module are used as the input of the signal sorting module for further signal identification and classification.

[0064] Among them, the time-frequency domain parameters include: pulse description words for pulse arrival time, pulse carrier frequency, pulse width, and pulse arrival angle.

[0065] The signal sorting module is used to receive the pulse description words transmitted by the pulse description word generation module, perform histogram sorting according to sorting parameters to identify and classify signals, and then transmit the sorting results to the direction-finding and cross-location module.

[0066] In one embodiment, the signal sorting module includes: a feature generation unit, a signal sorting unit, a target discrimination unit, and a database identification unit.

[0067] The feature generation unit is used to perform full-pulse parameter generation, video waveform generation, intermediate-frequency waveform generation, intermediate-frequency pulse spectrum generation, frequency modulation characteristic generation, and phase modulation characteristic generation operations in sequence according to the pulse description words to obtain multi-dimensional feature information of the target signal;

[0068] The signal sorting unit is used to perform histogram sorting on the received target signals based on the multi-dimensional feature information according to the generated features above, obtain a preliminary identification result and send it to the new target discrimination unit;

[0069] The target discrimination unit is used to judge whether the target data is a new target to obtain a judgment result. If the discrimination result is no, that is, the signal is an identified old target, the old target detection parameters are updated; if the discrimination result is yes, that is, the signal is a new target, it is sent to the database identification unit;

[0070] The database identification unit is used to input the new target signal into the main threat library for identification. If the main threat library can identify it, the credibility is calculated, and the data in the threat library is obtained to generate a sorting result; if it cannot be identified, it is input into the secondary radar library for identification. If the secondary radar library can identify it, the credibility is calculated, and the data in the threat library is obtained to generate a sorting result; if it cannot be identified, the credibility is calculated, and the conventional data of the signal is obtained to generate a sorting result by batch processing.

[0071] Specifically, Figure 2It is a schematic structural diagram of an optional working process of a signal sorting module provided by an embodiment of the present invention. As Figure 2 shown, the signal sorting module mainly includes a feature generation unit, a signal sorting unit, a target discrimination unit, a database identification unit, etc. When the signal sorting unit receives the pulse description word of the target signal to generate time-frequency domain parameters and time-frequency domain error parameters, first, the signal enters the feature generation unit. In this unit, operations such as full pulse parameter generation, video waveform generation, intermediate frequency waveform generation, intermediate frequency pulse spectrum generation, frequency modulation characteristic generation, and phase modulation characteristic generation are sequentially performed to comprehensively obtain multi-dimensional feature information of the target signal.

[0072] The signal enters the signal sorting unit. Based on this rich feature information, the signal recognition and sorting algorithm preliminarily sorts the received radar signal according to the generated features.

[0073] The sorted signal enters the new target discrimination unit. If the discrimination result is no, that is, the signal is an identified old target, the detection parameters of the old target are updated; if the discrimination result is yes, that is, the signal is a new target, it enters the database identification unit for subsequent database identification processes.

[0074] In the database identification unit, the new target signal first enters the main threat library for identification. If it can be identified, the credibility is calculated, and the data in the threat library is obtained; if it cannot be identified, it enters the secondary radar library for identification. When identifying in the secondary radar library, if it can be identified, the credibility is also calculated, and the data in the threat library is obtained; if it still cannot be identified, the credibility is calculated, and the conventional data of the signal is obtained and batched.

[0075] Through the signal sorting module provided by the present invention, the received radar signal can be comprehensively, accurately, and efficiently identified and sorted, providing a solid foundation for subsequent signal processing and applications, and having important practical application value and broad application prospects.

[0076] The direction finding and cross-location module is used to receive the sorting result of the signal sorting module and perform direction finding and cross-location calculations. Among them, the cross-location calculation includes DOA estimation and analysis, and the performance parameters affecting the algorithm are analyzed. The interaction relationship between the signal sorting module and the direction finding and cross-location module is: the sorting result of the signal sorting module is used as the input of the direction finding and cross-location module for accurate direction finding and location calculations. The location result of the direction finding and cross-location module is used as the input of the comparison module for comparison and analysis with the actual experimental data.

[0077] The direction finding and cross-location module of this system uses the triangulation cross-location method of multiple detection stations for the target to achieve passive cross-location of the radiation source. Figure 3 It is a schematic flow diagram of an optional passive cross-location of the radiation source provided by an embodiment of the present invention. AsFigure 3 as shown

[0078] Specifically, (1) Target position estimation

[0079] Using a rectangular coordinate system, let the estimated target position be E(x e , y e ). The azimuth angles measured by two detection stations "1" (x1, y1) and "2" (x2, y2) for the estimated target are θ2, θ2 respectively, and the direction-finding accuracies are σ1, σ2 respectively. The included angle between the two position lines is β, the distance from the radiation source to the azimuth baseline is R, and the distance between the two observation points is d. For simplicity, we assume that the azimuth baseline is aligned with the X-axis. Therefore, the slopes of the two position lines "1"E and "2"E are respectively:

[0080]

[0081] Solving the above linear equations gives:

[0082]

[0083] As can be seen from the above formula, according to the coordinates of the observation points "1" and "2" and the azimuth angles θ1, θ2, the coordinates (x e , y e ) of the radiation source point E can be determined.

[0084] (2) Direction-finding cross-location accuracy

[0085] Let the measurement errors of θ1, θ2 be Δθ1, Δθ2 respectively, and the mean value is zero. When the measurement errors are small, the method of using differential instead of increment can be used to analyze the location error. From the above formula, we can get:

[0086]

[0087] Differentiating the above formula gives:

[0088]

[0089] The direction-finding errors dθ1, dθ2 of the two detection stations can be converted into the location errors dx e , dy e on the plane:

[0090]

[0091] where r1, r2 respectively represent the distances from the detection equipment to the radiation source:

[0092]

[0093] Assume that the direction-finding errors of the two detection devices are uncorrelated. Using the analysis method of replacing the differential with the increment, the elements of the covariance matrix of the positioning error can be obtained from the following formula:

[0094]

[0095] (3) Mathematical models of positioning and ambiguity regions

[0096] For radar detection, cross-location is a commonly used method. The coordinates of the intersection point can be determined according to the known coordinates of the detection stations through triangular relationships. Let two detection stations A(x1, y1) and B(x2, y2) perform direction-finding on the same target E(x e , y e ), and the azimuth angles θ1 and θ2 are measured respectively. Figure 4 is a schematic structural diagram of a locatable area provided by an embodiment of the present invention.

[0097] Usually, the radius r of the error distribution circle at a 50% error probability is defined as the circular error probability radius, denoted as CEP.

[0098]

[0099] The position error r is also an important indicator of the positioning error, defined as the distance between the measured position and the actual position. Generally, the half-power beam widths of the two stations are the same, i.e., Δθ1 = Δθ2 = Δθ. The mathematical model of the maximum positioning error is:

[0100]

[0101] When the sum of the angles between the two stations and the baseline θ1 + θ2 = 90°, that is, when the direction-finding intersection line forms a right angle, the maximum positioning error is the smallest. It should be noted that at this time, the relative value of the ambiguity area is not the smallest.

[0102] When the angle β between the direction line and the baseline (the connection line of the two detection devices) is 60°, the ambiguity area is the smallest; the locatable area is 30° < β < 150°, where β is the angle between the target and the connection line of the two detectors. The boundary lines of the area are the major arc and the minor arc symmetrical about the connection line of the two stations. The minor arc area is the invalid positioning area. The range of the locatable area has nothing to do with the selection of simulation parameters. The value of the direction-finding accuracy of the configured distance will not affect the establishment of the conclusion either. It's just that the area of the locatable area, the area of the ambiguity area, and the maximum positioning error are related to the simulation parameters.

[0103] (4) The detection distances of the two detection stations are the same

[0104] In order to achieve the highest positioning accuracy for the radar radiation source, the positions of the two detection stations should be reasonably configured during direction-finding cross-location. The reasonable configuration of the two detection stations during direction-finding cross-location depends on different situations and different considerations.

[0105] The detection distances of the two detection stations to the target are equal, \(r_1 = r_2 = r\) 斜距 = D, and the distance between the two detection stations is B. Let

[0106] In different cases, the positioning area is as follows:

[0107] A. When the effective positioning area is:

[0108]

[0109] B. When the effective positioning area is:

[0110]

[0111] C. When the effective positioning area is:

[0112]

[0113] D. When the effective positioning area is:

[0114] S = 0

[0115] The optimal distance between the two detection stations is \(B_m\)

[0116] B m = 0.597r 斜距

[0117]

[0118] (5) The case where the detection distances of the two detection stations are different

[0119] The distances from the two detection stations to the target are not equal, \(r_1 = D_1\), \(r_2 = D_2\), and the distance between the two detection stations is B. Let The optimal station distance and the effective positioning area are given simultaneously in Table 1 below.

[0120] The optimal distance \(B_m\) and the corresponding maximum effective positioning area S for different K values in the table max .

[0121] Table 1 The case where the detection distances of the two detection stations are different

[0122]

[0123] The \(B_m\) and S in the table max are both referenced to \(D_2\), which are respectively how many times of \(D_2\) and .

[0124] (6) The detection ranges of the three detection stations are the same.

[0125] When performing three-station positioning, only the optimal station distance and the maximum positioning area are given, and the effective positioning area does not need to be given.

[0126] If the station distance between detection stations E and F is B, then the station distance between detection stations E and C is B EC and the station distance between detection stations F and C is B FC is

[0127]

[0128] The maximum area of the locatable area by the three stations is

[0129]

[0130] In one embodiment, a detection scenario simulation system based on radar signal sorting and positioning further includes: a comparison module, configured to receive the positioning result and import experimental result data for comparison to obtain a comparison result, where the comparison result includes conclusion data differences and data scores.

[0131] Specifically, the comparison module imports the experimental result data, compares it with the positioning result transmitted by the direction-finding cross-positioning module, displays the conclusion data differences, scores, and then transmits the comparison result to the experimental data export and experimental report generation module. The comparison result of the comparison module is used as the input of the experimental data export and report generation module for generating the final experimental report and data export.

[0132] The experimental comparison data includes, for example:

[0133]

[0134] In one embodiment, it further includes: a report generation module, configured to receive the comparison result to complete the export of the system simulation result and output the evaluation result as an electronic experimental report.

[0135] Specifically, the report generation module receives the comparison result of the experimental data comparison module, completes the export of the system simulation result, and outputs the evaluation result as an electronic experimental report.

[0136] In summary, the present invention has many significant beneficial effects in the field of radar detection:

[0137] The signal interception module integrates multiple factors and models to accurately calculate the signal energy and screen out targets that meet the conditions, laying the foundation for subsequent processing. The pulse description word generation module can accurately generate key parameters and errors, provide detailed information for signal feature characterization, and help to gain a deeper understanding of signal characteristics. The signal sorting module uses the histogram method to effectively distinguish different types of signals based on set parameters, improve signal processing efficiency and accuracy, quickly identify target signals in complex electromagnetic environments, reduce the impact of interference signals, and enhance the radar detection system's ability to analyze signals.

[0138] The direction finding cross positioning module can accurately locate the radar signal source through correlation sorting results and professional algorithm analysis, providing reliable location information for military or civilian radar monitoring, helping to timely discover and track targets. The experimental data comparison module compares and scores experimental and simulation data from multiple dimensions, which can intuitively reflect the experimental results, help researchers evaluate system performance, discover technical shortcomings, provide a strong basis for system optimization and improvement, and promote the continuous improvement of radar detection technology.

[0139] The experimental data export and experimental report generation modules facilitate researchers to store and analyze data. The electronic report is easy to share and consult, which is conducive to team collaboration and technical exchanges, accelerates the research and development of radar detection technology, improves overall research efficiency, and ensures the effective inheritance and application of research results.

[0140] The system embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0141] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0142] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A detection scenario simulation system based on radar signal sorting and positioning, characterized in that Including: A signal interception module, a pulse description word generation module, a signal sorting module, and a direction finding and cross-location module; The signal interception module is used to calculate the energy value of the radar signal reaching the receiving end based on environmental parameters and judge whether it meets the preset detection conditions based on the energy value. When the preset detection conditions are met, a target signal is generated and sent to the pulse description word generation module; The pulse description word generation module is used to receive the target signal to generate a pulse description word of time-frequency domain parameters and time-frequency domain error parameters and give it to the signal sorting module; The signal sorting module is used to receive the pulse description word and identify and classify signals using a signal recognition and sorting algorithm based on the sorting parameters of the pulse description word to obtain a sorting result; The direction finding and cross-location module is used to receive the sorting result and perform direction finding and cross-location calculations to obtain a location result.

2. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, wherein The signal interception module includes: A receiving unit for receiving radar signals from a radar radiation source; A signal analysis unit for calculating the energy value of the radar signal reaching the receiving end according to time, frequency, space, and energy domains based on the working parameters of the detection device and natural environmental parameters and judging whether the radar signal meets the preset detection conditions using a detection algorithm; after intercepting the radar signal that meets the detection conditions, it is transmitted to the pulse description word generation module.

3. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, wherein the signal sorting module comprises: A feature generation unit, a signal sorting unit, a target discrimination unit, and a database identification unit; The feature generation unit is used to perform operations of full pulse parameter generation, video waveform generation, intermediate frequency waveform generation, intermediate frequency pulse spectrum generation, frequency modulation characteristic generation, and phase modulation characteristic generation in sequence according to the pulse description word to obtain multi-dimensional feature information of the target signal; The signal sorting unit is used to perform histogram sorting on the received target signal based on the multi-dimensional feature information according to the generated features above to obtain a preliminary identification result and send it to the new target discrimination unit; The target discrimination unit is used to judge whether the target data is a new target to obtain a judgment result. If the discrimination result is no, that is, the signal is an identified old target, the detection parameters of the old target are updated; if the discrimination result is yes, that is, the signal is a new target, it is sent to the database identification unit; The database identification unit is used to input the new target signal into the main threat library for identification. If the main threat library can identify it, the credibility is calculated, and the data in the threat library is obtained to generate a sorting result; If it cannot be identified, it is input into the secondary radar library for identification. If the secondary radar library can identify it, the credibility is calculated, and the data in the threat library is obtained to generate a sorting result; If it cannot be identified, the credibility is calculated, and the conventional data of the signal is obtained to generate a sorting result by batch.

4. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, characterized in that, It also includes: A comparison module for receiving the location result and comparing it with the historical experimental result data to obtain a comparison result, where the comparison result includes conclusion data differences and data scores.

5. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, characterized in that It also includes: A report generation module for receiving the comparison result to complete the export of the system simulation result and outputting the evaluation result as an experimental report.

6. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, characterized in that, The time-frequency domain parameters include: a pulse description word of pulse arrival time, pulse carrier frequency, pulse width, and pulse arrival angle.

7. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, wherein The direction-finding cross-location calculation includes DOA estimation and DOA analysis.

8. The detection scenario simulation system based on radar signal sorting and positioning according to claim 1, characterized in that, The specific detection algorithm is as follows: Rmax is the maximum operating distance of the radar detection receiver; Pt is the radar transmit power; Gt is the radar transmit antenna gain; Gr is the detection antenna gain; λ is the operating wavelength of the radar transmitter; Prmin is the sensitivity of the detection receiver; L is the receiving loss.

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