Radar signal reconnaissance comprehensive identification method

Abstract

The invention discloses a radar signal reconnaissance comprehensive identification method, and relates to the technical field of radar reconnaissance identification, and the method comprises the following steps: S101, collecting information in a radar signal reconnaissance comprehensive identification process, including radar signal information and system setting information; s102, establishing a data analysis model for radar signal information and system setting information in a radar signal reconnaissance comprehensive identification process, and generating a precision influence evaluation index; according to the invention, the process of radar signal reconnaissance and comprehensive identification is monitored, when the precision of the radar signal is greatly influenced during reconnaissance and identification, a user is prompted to know the condition, and the problem that the reconnaissance and identification precision is influenced during the reconnaissance and identification of the radar signal is timely discovered; the conditions of target missing report or false report, recognition error or confusion, target positioning deviation, target detail information loss and the like of the radar signals in the investigation and recognition process are effectively prevented, and efficient investigation and recognition through the radar signals are achieved.

Description

Technical Field

[0001] The present invention relates to the field of radar reconnaissance and identification technology, and in particular to a radar signal reconnaissance and integrated identification method. Background Art

[0002] Radar (Radio Detection and Ranging) is a technology that uses electromagnetic waves for long-distance detection and measurement. It detects and locates targets by sending radio frequency signals and receiving returned reflected signals.

[0003] The RF signal emitted by the radar system interacts with the target and generates reflected signals on the target. These reflected signals are received by the receiver and used to analyze the characteristics of the target. By measuring the time delay from the emission to the reception of the signal, the distance between the target and the radar can be determined. This enables the radar to obtain information about the target distance in real time. When the target moves relative to the radar at different speeds, the returned signal will change in frequency, which is the Doppler effect. By measuring the Doppler frequency shift, the speed information of the target can be inferred. The return characteristics of the radar signal can provide some characteristic information of the target, such as the reflection cross section, shape, movement pattern, etc. These characteristics can be used to identify and classify targets. By performing signal processing and data processing on the received signals, radar images or radar maps can be generated. These images and maps can be used to display target distribution, movement patterns and other target characteristics, thereby supporting the detection and identification of targets.

[0004] The existing technology has the following deficiencies: in the process of reconnaissance and identification through radar signals, when the accuracy of radar signal reconnaissance and identification is affected and reduced, the radar system cannot be aware of it in time. In the subsequent reconnaissance and identification process, target omissions or false alarms, identification errors or confusion, target positioning deviations, loss of target detail information, etc. may occur, making it inconvenient to perform efficient reconnaissance and identification through radar signals.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The purpose of the present invention is to provide a radar signal reconnaissance comprehensive identification method. The present invention monitors the process of radar signal reconnaissance comprehensive identification. When the accuracy of the radar signal during reconnaissance identification is greatly affected, the user is prompted to know the situation, and the problem of the reconnaissance identification accuracy being affected during the radar signal reconnaissance identification is discovered in time, and the radar signal is effectively prevented from missing or misreporting targets, misidentifying errors or confusion, target positioning deviations, and loss of target detail information during the reconnaissance and identification process, so as to achieve efficient reconnaissance and identification through radar signals, so as to solve the problems in the above-mentioned background technology.

[0007] In order to achieve the above object, the present invention provides the following technical solution: a radar signal reconnaissance comprehensive identification method, comprising the following steps:

[0008] S101, collecting information in the process of radar signal reconnaissance and comprehensive identification, including radar signal information and system setting information;

[0009] S102, establishing a data analysis model for radar signal information and system setting information in the radar signal reconnaissance integrated identification process, and generating an accuracy impact assessment index;

[0010] S103, establishing a data set of several precision impact assessment indices generated in the radar signal reconnaissance integrated identification process, comparing and analyzing the precision impact assessment index of the data set with a preset precision impact assessment index reference threshold, and generating an impact assessment coefficient through the precision impact assessment index and the precision impact assessment index reference threshold;

[0011] S104: Compare the impact assessment coefficient generated in the data set with a preset reference threshold of the impact assessment coefficient to generate an impact signal, and generate or not generate an early warning prompt for the impact signal.

[0012] Preferably, the radar signal information includes a radar signal amplitude fluctuation coefficient and a radar signal dynamic range coefficient. After collection, the radar signal amplitude fluctuation coefficient and the radar signal dynamic range coefficient are calibrated as Bd and Bd respectively. k and Dt k The system setting information includes the system setting deviation coefficient. After collection, the system setting deviation coefficient is calibrated as Pc k .

[0013] Preferably, the logic of obtaining the radar signal amplitude fluctuation coefficient is as follows:

[0014] S1. Obtain the radar signal amplitude value at different times within the time T, and calibrate the radar signal amplitude value as F Δ j, j represents the number of the radar signal amplitude value at different times within the time T, j = 1, 2, 3, 4, ..., n, n is a positive integer;

[0015] S2. Calculate the standard deviation of the radar signal amplitude values ​​at different times within the time T, and calibrate the standard deviation as E. The calculation formula of the standard deviation E is:

[0016]

[0017] ,in, is the average value of the radar signal amplitude at different times within the T time, and the formula for obtaining it is:

[0018] S3. Obtain the radar signal amplitude fluctuation coefficient through the standard deviation E of the radar signal amplitude value at different times in time T. The expression obtained is: Bd k =E.

[0019] Preferably, the logic of obtaining the radar signal dynamic range coefficient is as follows:

[0020] S1. Obtain the radar signal strength at different times within T time, establish a data set B with the obtained radar signal strength, and calibrate the radar signal strength as FZ v , then B={FZ v}={FZ1, FZ2, FZ3,……,FZ N}, v represents the number of radar signal strength at different times within time T, v = 1, 2, 3, 4, ..., N, N is a positive integer;

[0021] S2, the radar signal strength FZ in the data set v Sort them in order and calculate the radar signal strength FZ v The maximum and minimum values ​​of max and FZ min ;

[0022] S3. Calculate the dynamic range value of the radar signal within the time T. The calculation formula is: DT z =10*log 10 (FZ max / FZ min ), where DT z is the dynamic range value of the radar signal within the time T;

[0023] S4, through the dynamic range value DT of the radar signal within T time z Get the radar signal dynamic range coefficient Dt k .

[0024] Preferably, the logic of obtaining the system deviation coefficient is as follows:

[0025] S1. Obtain the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system in radar signal transmission, and calibrate the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system as GL o , PL o , MC o ;

[0026] S2. Obtain the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width at different times within the time T, and calibrate the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width as GL x1 , PL x2 , MC x3 , x1 represents the number of the radar signal transmission power at different times within the time T, x1=1, 2, 3, 4, ..., y1, y1 is a positive integer, x2 represents the number of the radar signal transmission frequency at different times within the time T, x2=1, 2, 3, 4, ..., y2, y2 is a positive integer, x3 represents the number of the radar signal pulse width at different times within the time T, x3=1, 2, 3, 4, ..., y3, y3 is a positive integer;

[0027] S3, calculate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient within T time, and calibrate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient as PC 功率 、PC 频率 、PC 脉冲 , the calculation formula is:

[0028] S4. Calculate the system setting deviation coefficient within T time. The calculation formula is: Pc k =v1*PC 功率 +v2*PC 频率 +v3*PC 脉冲 , where v1, v2, and v3 are the weight factors of the radar signal transmission power setting deviation coefficient, the radar signal transmission frequency setting deviation coefficient, and the radar signal pulse width setting deviation coefficient, respectively.

[0029] Preferably, the radar signal amplitude fluctuation coefficient Bd is obtained k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k After that, a data analysis model is established to generate the accuracy impact evaluation index P JD k, based on the formula:

[0030]

[0031] , where f1, f2, and f3 are radar signal amplitude fluctuation coefficients Bd respectively. k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k The preset proportional coefficient, and f1, f2, and f3 are all greater than 0.

[0032] Preferably, a data set is established by using several accuracy impact assessment indices generated in the radar signal reconnaissance integrated identification process, and the data set is calibrated as Q, then Q = {P JD k}={P JD 1. P JD 2. P JD 3. ..., P JD G}, k represents the number of the precision impact assessment index in the data set, k = 1, 2, 3, 4, ..., G, G is a positive integer;

[0033] The precision impact assessment index greater than the precision impact assessment index reference threshold is recalibrated as P JD h, h represents the number of the precision impact assessment index in the data set that is greater than the precision impact assessment index reference threshold, h = 1, 2, 3, 4, ..., H, H is a positive integer;

[0034] The impact assessment coefficient is generated by the accuracy impact assessment index greater than the accuracy impact assessment index reference threshold and the accuracy impact assessment index reference threshold, according to the formula: In the formula, YX u represents the impact assessment coefficient, P JD Indicates the reference threshold of the accuracy impact assessment index.

[0035] Preferably, the impact assessment coefficient generated in the data set is compared with a preset impact assessment coefficient reference threshold. If the impact assessment coefficient is greater than or equal to the preset impact assessment coefficient reference threshold, a high impact signal is generated, and a warning prompt is generated for the high impact signal, and the warning prompt is transmitted to the radar signal transmitting terminal. If the impact assessment coefficient is less than the preset impact assessment coefficient reference threshold, a low impact signal is generated, and no warning prompt is generated for the high impact signal.

[0036] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0037] The present invention monitors the process of radar signal reconnaissance and comprehensive identification. When the accuracy of radar signal reconnaissance and identification is greatly affected, the user is prompted to know the situation, and the problem of the reconnaissance and identification accuracy being affected during the reconnaissance and identification of radar signals is discovered in time, and the radar signal is effectively prevented from missing or misreporting targets, misidentifying or confusing targets, mislocating targets, losing target details, etc. during the reconnaissance and identification process, so as to realize efficient reconnaissance and identification through radar signals.

[0038] The present invention analyzes several precision impact assessment indexes generated in the process of radar signal reconnaissance and comprehensive identification, thereby improving the accuracy of data analysis, avoiding early warning prompts caused by accidental emergencies, and increasing users' trust in early warnings, thereby achieving efficient reconnaissance and identification through radar signals. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0040] Figure 1 The present invention is a method flow chart of a radar signal reconnaissance comprehensive identification method. DETAILED DESCRIPTION

[0041] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of the present disclosure will be more comprehensive and complete, and the concept of the example embodiments will be fully conveyed to those skilled in the art.

[0042] The present invention provides Figure 1 A radar signal reconnaissance integrated identification method shown includes the following steps:

[0043] S101, collecting information in the process of radar signal reconnaissance and comprehensive identification, including radar signal information and system setting information;

[0044] Radar signal information includes radar signal amplitude fluctuation coefficient and radar signal dynamic range coefficient. After collection, the radar signal amplitude fluctuation coefficient and radar signal dynamic range coefficient are calibrated as Bd and Bd respectively. k and Dt k ;

[0045] Large amplitude fluctuations in radar signals may have the following serious effects on the accuracy of reconnaissance and identification:

[0046] Difficulty in target identification: Amplitude fluctuations can cause large changes in the intensity of target signals, making it difficult to identify targets. Identification algorithms usually rely on the characteristics and statistical information of target signals for classification and identification. Amplitude fluctuations can cause the characteristics of target signals to be unable to be stably extracted, thus affecting accurate target identification.

[0047] Increased false alarms and false positives: Amplitude fluctuations may lead to an increase in false alarms and false positives. When the amplitude fluctuations are large, the recognition algorithm may misjudge interference signals or background clutter as target signals, resulting in false alarms. At the same time, amplitude fluctuations may also make it difficult to distinguish the intensity changes of real target signals during the recognition process, increasing the probability of false alarms.

[0048] Unstable target tracking: Amplitude fluctuations can affect the tracking stability of the target. During the target tracking process, if the amplitude of the target signal fluctuates significantly, the tracking algorithm may not be able to stably track the target, resulting in inaccurate tracking results.

[0049] Degraded weak target detection performance: For weaker target signals, amplitude fluctuations will make their strength more unstable, thereby reducing the detection performance of weak targets. Amplitude fluctuations may make the strength of weak target signals close to or below the noise level, making them difficult to distinguish and extract;

[0050] Degraded signal processing performance: Amplitude fluctuations can negatively impact the performance of signal processing algorithms and techniques. For example, signal processing algorithms such as adaptive filtering, target detection, and parameter estimation often rely on signal stability and consistency, and amplitude fluctuations can cause algorithm performance degradation or unreliability.

[0051] Therefore, monitoring the amplitude of the radar signal can promptly detect situations where the amplitude of the radar signal fluctuates greatly;

[0052] The logic of obtaining the radar signal amplitude fluctuation coefficient is as follows:

[0053] S1. Obtain the radar signal amplitude value at different times within the time T, and calibrate the radar signal amplitude value as F Δ j, j represents the number of the radar signal amplitude value at different times within the time T, j = 1, 2, 3, 4, ..., n, n is a positive integer;

[0054] It should be noted that the use of real-time analysis tools and software, such as MATLAB, Python, etc., combined with appropriate data interfaces and communication protocols, can read and analyze the amplitude value of radar signals in real time, which is suitable for application scenarios of rapid response and real-time monitoring;

[0055] S2. Calculate the standard deviation of the radar signal amplitude values ​​at different times within the time T, and calibrate the standard deviation as E. The calculation formula of the standard deviation E is:

[0056]

[0057] ,in, is the average value of the radar signal amplitude at different times within the T time, and the formula for obtaining it is:

[0058] It should be noted that the smaller the standard deviation E of the radar signal amplitude values ​​at different times within the time T, the smaller the fluctuation of the radar signal amplitude value within the time T, and the larger the standard deviation E of the radar signal amplitude values ​​at different times within the time T, the greater the fluctuation of the radar signal amplitude value within the time T;

[0059] S3. Obtain the radar signal amplitude fluctuation coefficient through the standard deviation E of the radar signal amplitude value at different times in time T. The expression obtained is: Bd k =E;

[0060] From the standard deviation E of the radar signal amplitude values ​​at different times within the time T, it can be seen that the larger the performance value of the radar signal amplitude fluctuation coefficient, the greater the impact on the accuracy of radar signal reconnaissance and identification, and the smaller the performance value of the radar signal amplitude fluctuation coefficient, the smaller the impact on the accuracy of radar signal reconnaissance and identification;

[0061] In radar signal reconnaissance and recognition, the dynamic range of the signal refers to the maximum and minimum difference range of the received signal strength. A smaller dynamic range means that the signal strength changes relatively little, which may have the following effects on recognition accuracy:

[0062] Reduced target detection capability: A smaller dynamic range may result in unclear differences between the target signal and the background noise, making target detection more difficult. When the signal strength variation range is small, the target signal may be masked by the noise, resulting in the target being unable to be effectively detected.

[0063] Reduced target resolution: A smaller dynamic range of the signal may result in a smaller intensity difference between targets, thus affecting the target resolution. A smaller dynamic range may make it impossible to clearly identify the intensity difference between targets, thereby reducing the target resolution accuracy.

[0064] Decreased signal processing accuracy: During signal processing, a smaller dynamic range may limit the signal processing accuracy. For example, a smaller dynamic range may lead to an increase in quantization error, affecting the accuracy and performance of digital signal processing algorithms.

[0065] Therefore, monitoring the dynamic range of radar signals can timely detect abnormal dynamic range of radar signals;

[0066] The logic of obtaining the radar signal dynamic range coefficient is as follows:

[0067] S1. Obtain the radar signal strength at different times within T time, establish a data set B with the obtained radar signal strength, and calibrate the radar signal strength as FZ v , then B={FZ v}={FZ1, FZ2, FZ3,……,FZ N}, v represents the number of radar signal strength at different times within time T, v = 1, 2, 3, 4, ..., N, N is a positive integer;

[0068] It should be noted that the receiver of the radar system measures the power of the received signal in real time. The receiver amplifies and filters the received signal, and then obtains the signal strength information through the power measurement circuit;

[0069] S2, the radar signal strength FZ in the data set v Sort them in order and calculate the radar signal strength FZ v The maximum and minimum values ​​of max and FZ min ;

[0070] S3. Calculate the dynamic range value of the radar signal within the time T. The calculation formula is: DT z =10*log 10 (FZ max / FZ min ), where DT z is the dynamic range value of the radar signal within the time T;

[0071] S4 passes the dynamic range value DT of the radar signal within T time z Get the radar signal dynamic range coefficient Dt k ;

[0072] From the calculation formula of the dynamic range value of the radar signal within the T time, it can be seen that the larger the performance value of the radar signal dynamic range coefficient, the smaller the impact on the accuracy of radar signal reconnaissance and identification, and the smaller the performance value of the radar signal dynamic range coefficient, the greater the impact on the accuracy of radar signal reconnaissance and identification;

[0073] The system setting information includes the system setting deviation coefficient. After collection, the system setting deviation coefficient is calibrated as Pc k ;

[0074] a. When there is a deviation between the actual transmit power of the radar signal and the transmit power set by the system, the following serious impacts may be caused on the accuracy of radar signal reconnaissance and identification:

[0075] Limited detection range: The deviation of transmission power will directly affect the power density of radar signals, and then affect the attenuation and loss of signals during propagation. If the actual transmission power is lower than the system setting value, the signal strength will decay faster during propagation, resulting in limited detection range of radar, making it difficult to detect distant targets.

[0076] Signal quality degradation: Low actual transmission power will lead to reduced signal strength, resulting in a lower signal-to-noise ratio. A lower signal-to-noise ratio will affect the radar system's effective extraction and identification of target echo signals, resulting in a degradation of signal quality and reduced accuracy and reliability of reconnaissance and identification.

[0077] Reduced target resolution: Lower transmission power may result in weaker target echo signals, which in turn reduces the radar system's ability to resolve targets. Weak target echo signals mean that detailed information about the target may not be accurately extracted and resolved, making it difficult to discern the shape, size, and structural features of the target, thus affecting the accuracy of reconnaissance and identification.

[0078] Reduced positioning accuracy: Deviation in transmission power may lead to instability in the strength of the target echo signal, which in turn affects the radar system’s positioning accuracy of the target. Reduced positioning accuracy will make the target’s position information inaccurate, which may increase the target’s positioning error and affect the accuracy of reconnaissance and identification.

[0079] Increased false alarms and missed alarms: Transmit power deviation may cause problems in the radar system's identification of targets and interference during signal processing. Lower transmit power increases the risk of false alarms, which may lead to noise or other objects being mistakenly identified as targets. At the same time, lower signal strength also increases the possibility of missed alarms, resulting in the target's echo signal not being correctly identified.

[0080] b. When there is a deviation between the actual transmission frequency of the radar signal and the transmission frequency set by the system, the following serious impacts may be caused on the accuracy of radar signal reconnaissance and identification:

[0081] Frequency error leads to target distance measurement error: Radar systems usually use the frequency difference between the transmitted and received signals to measure the distance between the target and the radar. If there is a deviation between the actual transmission frequency and the set transmission frequency, the error in the target distance measurement will increase, which will affect the radar system's accurate positioning of the target position, and thus affect the accuracy of reconnaissance and identification;

[0082] Frequency error affects target speed measurement: The radar system also uses the change in the frequency of the target echo signal to measure the target speed. If there is a deviation between the actual transmission frequency and the set transmission frequency, the error in the target speed measurement will increase, which may lead to an erroneous estimation of the target speed and affect the analysis and judgment of the target motion characteristics in reconnaissance and identification.

[0083] Signal frequency deviation reduces the quality of target echo signals: Frequency deviation will cause the received target echo signal to not match the frequency expected by the system, which may cause signal frequency deviation, resulting in spectrum expansion or spectrum distortion of the target echo signal, thereby reducing signal quality. Large frequency deviation will make it difficult to accurately extract and analyze the target echo signal, affecting the accuracy of reconnaissance and identification;

[0084] Frequency error leads to target feature extraction errors: Some feature extraction algorithms in radar signals may rely on the frequency information of the signal. If there is a deviation between the actual transmission frequency and the transmission frequency set by the system, it will lead to the incorrect application or misinterpretation of the feature extraction algorithm, which may lead to the incorrect extraction and identification of target features, affecting the accuracy of reconnaissance and identification;

[0085] c. When there is a deviation between the actual pulse width of the radar signal and the pulse width set by the system, it may cause the following serious impacts on the accuracy of radar signal reconnaissance and identification:

[0086] Reduced range resolution: Pulse width is one of the important parameters that determine radar range resolution. If the actual pulse width is inconsistent with the pulse width set by the system, the radar system may not be able to accurately distinguish the distance of the target, which will lead to increased ambiguity and uncertainty in the target position;

[0087] Reduced target detection capability: Pulse width is directly related to the detection capability of the radar system. If the actual pulse width is large, the radar may not be able to detect small targets or targets with low reflection cross-sections at a close distance, which may make it impossible to correctly identify and locate the target, reducing the accuracy of signal reconnaissance;

[0088] Reduced target resolution: Pulse width also affects the radar's target resolution capability. A larger pulse width may cause the target echo details to be lost or blurred, thereby reducing the target resolution capability. This may make it impossible for the radar to accurately identify important features such as target type, size and shape.

[0089] The signal-to-noise ratio of the target echo decreases: The pulse width is directly related to the signal-to-noise ratio of the target echo. If the actual pulse width is large, the target echo may be interfered by more noise, thereby reducing the signal-to-noise ratio, which will have an adverse effect on the detection, identification and positioning of the target, and may cause false alarms or missed alarms.

[0090] Therefore, by comparing and monitoring the system setting parameters of the radar signal and the corresponding actual parameters, the deviation of the radar signal system setting can be discovered in time;

[0091] The logic of obtaining the system setting deviation coefficient is as follows:

[0092] S1. Obtain the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system in radar signal transmission, and calibrate the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system as GL o , PL o , MC o ;

[0093] It should be noted that the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width set by the system in radar signal transmission can be obtained through the radar signal parameter setting system;

[0094] S2. Obtain the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width at different times within the time T, and calibrate the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width as GL x1 , PL x2 , MC x3 , x1 represents the number of the radar signal transmission power at different times within the time T, x1=1, 2, 3, 4, ..., y1, y1 is a positive integer, x2 represents the number of the radar signal transmission frequency at different times within the time T, x2=1, 2, 3, 4, ..., y2, y2 is a positive integer, x3 represents the number of the radar signal pulse width at different times within the time T, x3=1, 2, 3, 4, ..., y3, y3 is a positive integer;

[0095] It should be noted that the use of specialized radar signal monitoring equipment, such as spectrum analyzers, power meters, and pulse width measurement equipment, can monitor and measure the transmit power, transmit frequency, and pulse width of radar signals in real time. These devices can directly collect and analyze radar signals and provide corresponding parameter information.

[0096] S3, calculate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient within T time, and calibrate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient as PC 功率 、PC 频率 、PC 脉冲 , the calculation formula is:

[0097] S4. Calculate the system setting deviation coefficient within T time. The calculation formula is: Pc k =v1*PC 功率 +v2*PC 频率 +v3*PC 脉冲, where v1, v2, and v3 are weight factors of the radar signal transmission power setting deviation coefficient, the radar signal transmission frequency setting deviation coefficient, and the radar signal pulse width setting deviation coefficient, respectively. The weight factors are used to balance the proportion of each data in the formula, thereby promoting the accuracy of the calculation results;

[0098] From the calculation formula of the system setting deviation coefficient within the T time, it can be seen that the larger the performance value of the system setting deviation coefficient, the greater the impact on the accuracy of radar signal reconnaissance and identification, and the smaller the performance value of the system setting deviation coefficient, the smaller the impact on the accuracy of radar signal reconnaissance and identification;

[0099] S102, establishing a data analysis model for radar signal information and system setting information in the radar signal reconnaissance integrated identification process, and generating an accuracy impact assessment index;

[0100] Get the radar signal amplitude fluctuation coefficient Bd k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k After that, a data analysis model is established to generate the accuracy impact evaluation index P JD k, based on the formula:

[0101]

[0102] , where f1, f2, and f3 are radar signal amplitude fluctuation coefficients Bd respectively. k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k The preset proportional coefficient, and f1, f2, and f3 are all greater than 0;

[0103] From the calculated expression, it can be seen that the larger the radar signal amplitude fluctuation coefficient within the T time, the smaller the radar signal dynamic range coefficient, and the larger the system setting deviation coefficient, that is, the accuracy impact evaluation index P JD The larger the performance value of k, the greater the impact on the accuracy of radar signal reconnaissance and recognition. The smaller the radar signal amplitude fluctuation coefficient within the T time, the larger the radar signal dynamic range coefficient, and the smaller the system setting deviation coefficient, that is, the accuracy impact evaluation index P JD The smaller the performance value of k is, the less the impact on the accuracy of radar signal reconnaissance and recognition is;

[0104] S103, establishing a data set of several precision impact assessment indices generated in the radar signal reconnaissance integrated identification process, comparing and analyzing the precision impact assessment index of the data set with a preset precision impact assessment index reference threshold, and generating an impact assessment coefficient through the precision impact assessment index and the precision impact assessment index reference threshold;

[0105] The data set is established by using several accuracy impact assessment indices generated in the process of radar signal reconnaissance and comprehensive identification, and the data set is calibrated as Q, then Q = {P JD k}={P JD 1. P JD 2. P JD 3. ..., P JD G}, k represents the number of the precision impact assessment index in the data set, k = 1, 2, 3, 4, ..., G, G is a positive integer;

[0106] The precision impact assessment index greater than the precision impact assessment index reference threshold is recalibrated as P JD h, h represents the number of the precision impact assessment index in the data set that is greater than the precision impact assessment index reference threshold, h = 1, 2, 3, 4, ..., H, H is a positive integer;

[0107] The impact assessment coefficient is generated by the accuracy impact assessment index greater than the accuracy impact assessment index reference threshold and the accuracy impact assessment index reference threshold, according to the formula: In the formula, YX u represents the impact assessment coefficient, P JD Indicates the reference threshold of the accuracy impact assessment index;

[0108] It can be seen from the calculation formula that the larger the performance value of the precision impact assessment index and the impact assessment coefficient generated by the precision impact assessment index reference threshold in the data set is, the more seriously the impact on the accuracy of radar signal reconnaissance and identification is; the smaller the performance value of the precision impact assessment index and the impact assessment coefficient generated by the precision impact assessment index reference threshold in the data set is, the less seriously the impact on the accuracy of radar signal reconnaissance and identification is.

[0109] S104, comparing the impact assessment coefficient generated in the data set with a preset reference threshold of the impact assessment coefficient, generating an impact signal, and generating or not generating an early warning prompt for the impact signal;

[0110] The impact assessment coefficient generated in the data set is compared with the preset reference threshold of the impact assessment coefficient. If the impact assessment coefficient is greater than or equal to the preset reference threshold of the impact assessment coefficient, a high impact signal is generated, and an early warning prompt is generated for the high impact signal, and the early warning prompt is transmitted to the radar signal transmitting terminal, prompting the user that the accuracy of the signal transmitted by the radar is greatly affected during reconnaissance and identification, which may cause the accuracy of reconnaissance and identification to be reduced, and promptly notifying the user to arrange inspection and maintenance work on the radar signal transmitting terminal, and promptly discovering the problems that may affect the reconnaissance and identification accuracy during the reconnaissance and identification of the radar signal, effectively preventing the radar signal from missing or misreporting targets, identifying errors or confusion, target positioning deviations, and loss of target detail information during the reconnaissance and identification process, so as to achieve efficient reconnaissance and identification through radar signals. If the impact assessment coefficient is less than the preset reference threshold of the impact assessment coefficient, a low impact signal is generated, and no early warning prompt is generated for the high impact signal;

[0111] The present invention monitors the process of radar signal reconnaissance and comprehensive identification. When the accuracy of radar signal reconnaissance and identification is greatly affected, the user is prompted to know the situation, and the problem of the reconnaissance and identification accuracy being affected during the reconnaissance and identification of radar signals is discovered in time, and the radar signal is effectively prevented from missing or misreporting targets, misidentifying or confusing targets, mislocating targets, losing target details, etc. during the reconnaissance and identification process, so as to realize efficient reconnaissance and identification through radar signals.

[0112] The present invention analyzes several precision impact assessment indexes generated in the process of radar signal reconnaissance and comprehensive identification, thereby improving the accuracy of data analysis, avoiding early warning prompts caused by accidental emergencies, and increasing users' trust in early warnings, thereby achieving efficient reconnaissance and identification through radar signals.

[0113] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0114] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0115] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0116] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed methods can be implemented in other ways. For example, the embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0118] 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, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0119] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0120] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0121] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A radar signal reconnaissance integrated identification method, characterized in that: The following steps are involved: S101, collecting information in the process of radar signal reconnaissance and comprehensive identification, including radar signal information and system setting information; S102, establishing a data analysis model for radar signal information and system setting information in the radar signal reconnaissance integrated identification process, and generating an accuracy impact assessment index; S103, establishing a data set of several precision impact assessment indices generated in the radar signal reconnaissance integrated identification process, comparing and analyzing the precision impact assessment index of the data set with a preset precision impact assessment index reference threshold, and generating an impact assessment coefficient through the precision impact assessment index and the precision impact assessment index reference threshold; S104: Compare the impact assessment coefficient generated in the data set with a preset reference threshold of the impact assessment coefficient to generate an impact signal, and generate or not generate an early warning prompt for the impact signal.

2. A radar signal reconnaissance integrated identification method according to claim 1, characterized in that: Radar signal information includes radar signal amplitude fluctuation coefficient and radar signal dynamic range coefficient. After collection, the radar signal amplitude fluctuation coefficient and radar signal dynamic range coefficient are calibrated as Bd and Bd respectively. k and Dt k The system setting information includes the system setting deviation coefficient. After collection, the system setting deviation coefficient is calibrated as Pc k .

3. A radar signal reconnaissance integrated identification method according to claim 2, characterized in that: The logic of obtaining the radar signal amplitude fluctuation coefficient is as follows: S1. Obtain the radar signal amplitude value at different times within the time T, and calibrate the radar signal amplitude value as F Δ j, j represents the number of the radar signal amplitude value at different times within the time T, j = 1, 2, 3, 4, ..., n, n is a positive integer; S2. Calculate the standard deviation of the radar signal amplitude values ​​at different times within the time T, and calibrate the standard deviation as E. The calculation formula of the standard deviation E is: in, is the average value of the radar signal amplitude at different times within the T time, and the formula for obtaining it is: S3. Obtain the radar signal amplitude fluctuation coefficient through the standard deviation E of the radar signal amplitude value at different times in time T. The expression obtained is: Bd k =E.

4. A radar signal reconnaissance integrated identification method according to claim 3, characterized in that: The logic of obtaining the radar signal dynamic range coefficient is as follows: S1. Obtain the radar signal strength at different times within T time, establish a data set B with the obtained radar signal strength, and calibrate the radar signal strength as FZ v , then B={FZ v }={FZ1, FZ2, FZ3,……,FZ N }, v represents the number of radar signal strength at different times within time T, v = 1, 2, 3, 4, ..., N, N is a positive integer; S2, the radar signal strength FZ in the data set v Sort them in order and calculate the radar signal strength FZ v The maximum and minimum values ​​of max and FZ min ; S3. Calculate the dynamic range value of the radar signal within the time T. The calculation formula is: DT z =10*log 10 (FZ max / FZ min ), where DT z is the dynamic range value of the radar signal within the time T; S4 passes the dynamic range value DT of the radar signal within T time z Get the radar signal dynamic range coefficient Dt k .

5. A radar signal reconnaissance integrated identification method according to claim 4, characterized in that: The logic of obtaining the system setting deviation coefficient is as follows: S1. Obtain the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system in radar signal transmission, and calibrate the radar signal transmission power, radar signal transmission frequency and radar signal pulse width set by the system as GL o , PL o , MC o ; S2. Obtain the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width at different times within the time T, and calibrate the radar signal transmission power, radar signal transmission frequency, and radar signal pulse width as GL x1 , PL x2 , MC x3 , x1 represents the number of the radar signal transmission power at different times within the time T, x1=1, 2, 3, 4, ..., y1, y1 is a positive integer, x2 represents the number of the radar signal transmission frequency at different times within the time T, x2=1, 2, 3, 4, ..., y2, y2 is a positive integer, x3 represents the number of the radar signal pulse width at different times within the time T, x3=1, 2, 3, 4, ..., y3, y3 is a positive integer; S3, calculate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient within T time, and calibrate the radar signal transmission power setting deviation coefficient, radar signal transmission frequency setting deviation coefficient, radar signal pulse width setting deviation coefficient as PC 功率 、PC 频率 、PC 脉冲 , the calculation formula is: S4. Calculate the system setting deviation coefficient within T time. The calculation formula is: Pc k =v1*PC 功率 +v2*PC 频率 +v3*PC 脉冲 , where v1, v2, and v3 are the weight factors of the radar signal transmission power setting deviation coefficient, the radar signal transmission frequency setting deviation coefficient, and the radar signal pulse width setting deviation coefficient, respectively.

6. A radar signal reconnaissance integrated identification method according to claim 5, characterized in that: Get the radar signal amplitude fluctuation coefficient Bd k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k After that, a data analysis model is established to generate the accuracy impact evaluation index P JD k, based on the formula: Where f1, f2, and f3 are radar signal amplitude fluctuation coefficients Bd, respectively. k , radar signal dynamic range coefficient Dt k And the system setting deviation coefficient Pc k The preset proportional coefficient, and f1, f2, and f3 are all greater than 0.

7. A radar signal reconnaissance integrated identification method according to claim 6, characterized in that: The data set is established by using several accuracy impact assessment indices generated in the process of radar signal reconnaissance and comprehensive identification, and the data set is calibrated as Q, then Q = {P JD k}={P JD 1. P JD 2. P JD 3. ..., P JD G}, k represents the number of the precision impact assessment index in the data set, k = 1, 2, 3, 4, ..., G, G is a positive integer; The precision impact assessment index greater than the precision impact assessment index reference threshold is recalibrated as P JD h, h represents the number of the precision impact assessment index in the data set that is greater than the precision impact assessment index reference threshold, h = 1, 2, 3, 4, ..., H, H is a positive integer; The impact assessment coefficient is generated by the accuracy impact assessment index greater than the accuracy impact assessment index reference threshold and the accuracy impact assessment index reference threshold, according to the formula: In the formula, YX u represents the impact assessment coefficient, P JD Indicates the reference threshold of the accuracy impact assessment index.

8. A radar signal reconnaissance integrated identification method according to claim 7, characterized in that: The impact assessment coefficient generated in the data set is compared with the pre-set impact assessment coefficient reference threshold. If the impact assessment coefficient is greater than or equal to the pre-set impact assessment coefficient reference threshold, a high impact signal is generated, and an early warning is generated for the high impact signal, and the early warning is transmitted to the radar signal transmitting terminal. If the impact assessment coefficient is less than the pre-set impact assessment coefficient reference threshold, a low impact signal is generated, and no early warning is generated for the high impact signal.

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