Radar clutter distribution trailing modeling method, trailing characteristic analysis method and device

Abstract

The invention relates to the technical field of radar echo modeling, in particular to a radar clutter distribution trailing modeling method, a radar clutter distribution trailing characteristic analysis method and a radar clutter distribution trailing characteristic analysis device, and aims to construct a polynomial model of radar clutter distribution trailing by performing polynomial fitting on a probability density function of clutter distribution trailing so as to accurately describe the trailing characteristics of radar clutter distribution. The structure is simple, and engineering realization is easy; actual measurement data verify that the method has a better fitting effect, and the accuracy of clutter distribution trailing characteristic description can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of radar echo modeling, and in particular to a radar clutter distribution tail modeling method, a tail characteristic analysis method and a device. Background Art

[0002] In the radar detection process, clutter always appears together with the target echo. Its complex characteristics become the key factor restricting the radar target detection performance. Accurate clutter modeling is one of the key factors to improve the target detection performance. Amplitude statistical distribution is an important angle of clutter modeling. It can reflect the fluctuation characteristics of the sea clutter echo amplitude and is often described by probability density function. For low-resolution radar clutter, its amplitude statistical distribution can usually be described by Rayleigh distribution. When the radar resolution is improved or the radar grazing angle is low, the clutter amplitude distribution tends to deviate from the Rayleigh distribution and show obvious heavy tailing phenomenon. The heavy tailing phenomenon, that is, the slow attenuation characteristics of the far right end of the clutter amplitude distribution curve, is usually caused by factors such as multipath effects, complexity of scattering mechanisms or specific environmental conditions. Due to the emergence of heavy tailing phenomenon, modeling the statistical characteristics of clutter amplitude distribution becomes extremely complicated. For radar detection problems, compared with the global probability density function of the clutter amplitude distribution, the fitting accuracy of the probability density function of the model and its distribution tail part is often more important, which will directly affect the accuracy of radar detection threshold setting.

[0003] In recent years, many scholars have devoted themselves to studying and solving the problem of heavy tail modeling of clutter amplitude distribution. The relevant research can be roughly divided into four directions: 1) Designing and establishing a single structure statistical distribution model with tail characteristics; 2) Designing and establishing a composite Gaussian distribution model; 3) Designing and establishing a composite structure distribution model; 4) Designing and establishing an amplitude distribution tail model. However, due to the large differences in clutter amplitude distribution characteristics under different radar parameters and environmental parameters, and the different models have different dynamic ranges and tailing degrees, there is currently no universal model form to summarize the existing amplitude distribution models. The existing models have not yet completely overcome the shortcomings in describing the extreme heavy tail phenomenon, and it is difficult to accurately characterize the tail characteristics of radar clutter distribution. Summary of the invention

[0004] The purpose of the present invention is to provide a radar clutter distribution tail modeling method, a tail characteristic analysis method and a device, which can establish a distribution tail polynomial model with both flexibility and convenience to accurately characterize the tail characteristics of radar clutter distribution.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: A radar clutter distribution tail modeling method comprises the following steps: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, the empirical cumulative distribution function was calculated; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; Construct a polynomial model for radar clutter tails:

[0006] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0007] Furthermore, the present invention also includes evaluating the fitting effect of the polynomial model of radar clutter distribution tail on the radar clutter samples, and using the root mean square error as a description of the fitting effect of the polynomial model of radar clutter distribution tail, which is defined as: .

[0008] On the other hand, a method for analyzing tail characteristics of radar clutter distribution is provided, comprising: The above radar clutter distribution tail modeling method is used to obtain a polynomial model of radar clutter distribution tail; Based on the polynomial model of the radar clutter distribution tail, the clutter distribution tail characteristic of the radar clutter data is obtained.

[0009] On the other hand, a radar clutter distribution tail modeling device is provided, comprising: The first module is used to extract radar clutter samples from radar echo data and construct a radar clutter sample set. ; The second module is used to collect radar clutter samples For the reference data, the empirical cumulative distribution function was calculated; The third module is used to set T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; The fourth module is used to select a sample greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; The fifth module is used to collect radar clutter tail samples For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; The sixth module is used to construct a polynomial model for radar clutter tailing:

[0010] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The seventh module is used to statistically distribute the position and height of each histogram box in the histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0011] On the other hand, a radar clutter distribution tail characteristic analysis device is provided, comprising: A model building module, used to obtain a polynomial model of radar clutter distribution tail using the above radar clutter distribution tail modeling method; The tailing characteristic analysis module is used to obtain the clutter distribution tailing characteristics of the radar clutter data based on the polynomial model of the radar clutter distribution tailing.

[0012] A device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, the empirical cumulative distribution function was calculated; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; Construct a polynomial model for radar clutter tails:

[0013] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0014] A storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, the empirical cumulative distribution function was calculated; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; Construct a polynomial model for radar clutter tails:

[0015] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0016] The beneficial effects of the present invention are: By performing polynomial fitting on the probability density function PDF of the clutter distribution tail, a polynomial model of the radar clutter distribution tail is constructed. The invention has a simple structure and is easy to implement in engineering. The actual measured data proves that the invention has a better fitting effect and can effectively improve the accuracy of describing the clutter distribution tail characteristic. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention 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 of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 A flow chart of a radar clutter distribution tail modeling method of the present invention; Figure 2 A schematic diagram of radar echo data and clutter samples provided by an embodiment; Figure 3 A graph showing the relationship between the empirical cumulative distribution function ECDF and the amplitude value of radar clutter samples provided by an embodiment; Figure 4 A graph showing the relationship between a probability density function PDF of a radar clutter tail sample and a clutter amplitude value provided by an embodiment; Figure 5 A comparison chart of the probability density function PDF of the clutter sample of the polynomial model provided in an embodiment and other models; The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The present invention provides a radar clutter distribution tail modeling method, specifically a radar clutter distribution tail modeling method based on polynomial fitting. The present invention can establish a distribution tail model with both flexibility and convenience to accurately characterize the tail characteristics of radar clutter distribution.

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0023] like Figure 1 As shown, a radar clutter distribution tail modeling method provided by an embodiment includes the following steps: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, calculate the empirical cumulative distribution function ; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set Radar clutter samples ,in, ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; Construct a polynomial model for radar clutter tails: (1) in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0024] In one embodiment, , the polynomial model of radar clutter tail is constructed as follows: (2) The position and height of each histogram box in the statistical distribution histogram As reference data, the least squares method is used to solve the polynomial model of radar clutter tailing. The process is as follows: According to the least squares rule, Parameters The following relationship should be satisfied: (3) remember (4) but About The quaternion function of ; Step 5.3: Make Parameters to get minimum value Should meet (5) So there is (6) That is (7) Solving equation (7), we get ,Sure ,but is the polynomial model of the radar clutter tail obtained.

[0025] In one embodiment, it also includes evaluating the fitting effect of the polynomial model of the radar clutter distribution tail on the radar clutter sample, and using the root mean square error as the description of the fitting effect of the polynomial model of the radar clutter distribution tail, which is defined as: (8) In one embodiment, a method for analyzing tail characteristics of radar clutter distribution is provided, comprising: The above radar clutter distribution tail modeling method is used to obtain a polynomial model of radar clutter distribution tail; Based on the polynomial model of the radar clutter distribution tail, the clutter distribution tail characteristic of the radar clutter data is obtained.

[0026] In order to verify the effectiveness and practicality of the radar clutter distribution tail modeling method based on polynomial fitting provided by the present invention, this embodiment is further explained by combining the echo data recorded when the radar conducts an outdoor test.

[0027] Figure 2 The radar measured echo data combined with this embodiment is the echo data recorded when the radar conducts field tests. The radar working center frequency is 9.4GHz, the transmission signal is a linear frequency modulation signal, the bandwidth is 5MHz, the pulse repetition frequency is 8KHz, and the sampling rate is 10MHz. The polarization mode is HV polarization, each distance unit is 15m, and except for the distance unit where the target is located, the remaining units are clutter units. Extract the radar clutter amplitude sample, and record the clutter sample as . The clutter amplitude sample is taken Figure 2 The model of the radar echo complex data from the 20th distance unit to the 230th distance unit and the 260th distance unit to the 480th distance unit.

[0028] Figure 3 is the empirical cumulative distribution function of the clutter amplitude sample selected in this embodiment In order to highlight the tailing of the clutter amplitude sample, the vertical axis is selected with Expressed and described in logarithmic coordinates. Figure 3 The gray dashed line is , its corresponding .at the same time, Figure 3 The classical model and the empirical cumulative distribution function of radar clutter amplitude samples are shown in It can be noted that, in general, the gamma distribution model has a better fitting effect than other classical models. When , several classic models such as the gamma distribution model can fit the clutter amplitude distribution of the measured data well. When , there is a large deviation between the gamma distribution model and the measured data clutter amplitude distribution.

[0029] Figure 4 is the radar clutter amplitude tailing sample probability density function of this embodiment A plot of the relationship between the amplitude and the radar clutter sample. Medium or larger The samples are radar clutter tail samples .remember Figure 4 The horizontal coordinate of the sample data point is , the vertical axis is , the width between two data points , is the number of data points. Figure 4 The classical model and the radar clutter amplitude tailing sample probability density function are shown in It can be noted that, in general, the exponential distribution model has a better fitting effect than other classical models. When , the probability density function of the tail amplitude estimated by the exponential distribution model is It is obviously lower than the measured data, and it fails to accurately describe the heavy-tailing characteristics of the amplitude distribution.

[0030] Figure 5 The probability density function of the polynomial model of this embodiment and other classical models with clutter tail samples is Polynomial Model Follow step 5 to build. According to the least squares rule, satisfy Parameters of relationships for , , , .

[0031] Table 1 summarizes the polynomial model and other models of this embodiment and the measured clutter amplitude distribution tailing probability density function The root mean square error is used to describe the fitting effect of the polynomial model on the sample. The lower the root mean square error, the better the model fitting effect. The root mean square error of the polynomial model is the lowest. The polynomial model obtained by the radar clutter distribution tail modeling method based on polynomial fitting disclosed in the present invention is more accurate in describing the measured clutter distribution tail.

[0032] Table 1 Root mean square error of polynomial model

[0033] In one embodiment, a radar clutter distribution tail modeling device is provided, the device comprising: The first module is used to extract radar clutter samples from radar echo data and construct a radar clutter sample set. ; The second module is used to collect radar clutter samples For the reference data, calculate the empirical cumulative distribution function ; The third module is used to set T value ， Get the empirical cumulative distribution function of the radar clutter sample set Radar clutter samples ; The fourth module is used to select a sample greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; The fifth module is used to collect radar clutter tail samples For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; The sixth module is used to construct a polynomial model for radar clutter tailing:

[0034] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The seventh module is used to statistically distribute the position and height of each histogram box in the histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0035] In one embodiment, a device for analyzing tail characteristics of radar clutter distribution is provided, comprising: A model building module, used to obtain a polynomial model of radar clutter distribution tail using the above radar clutter distribution tail modeling method; The tailing characteristic analysis module is used to obtain the clutter distribution tailing characteristics of the radar clutter data based on the polynomial model of the radar clutter distribution tailing.

[0036] In one embodiment, a device is provided, which may be a server, and the device includes a processor, a memory, a grid interface and a database connected through a system bus. The processor of the device is used to provide computing and control capabilities. The memory of the device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the device is used to store data in the process of radar clutter distribution tail modeling. The grid interface of the device is used to communicate with an external terminal through a grid connection. When the computer program is executed by the processor, a radar clutter distribution tail modeling method is implemented.

[0037] Those skilled in the art will appreciate that the description of the technical features of the devices in the above embodiments does not constitute a limitation on all devices to which the present invention is applied, and a specific device may include more or fewer components, or combine certain components, or have a different arrangement of components.

[0038] In one embodiment, a storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, calculate the empirical cumulative distribution function ; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set Radar clutter samples ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; Construct a polynomial model for radar clutter tails:

[0039] in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

[0040] A person of ordinary skill in the art can understand that all or part of the processes for implementing the above-mentioned embodiment methods can be completed by instructing related hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods.

[0041] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0042] The above-mentioned embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A radar clutter distribution tail modeling method, characterized in that: The method comprises the following steps: Extract radar clutter samples from radar echo data and construct radar clutter sample set ; Radar clutter sample set For the reference data, the empirical cumulative distribution function was calculated; set up T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; Select the radar clutter sample set that is greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; Radar clutter tail sample set For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value; Construct a polynomial model for radar clutter tails: in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The position and height of each histogram box in the statistical distribution histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

2. The radar clutter distribution tail modeling method according to claim 1, characterized in that: It also includes the evaluation of the fitting effect of the polynomial model of radar clutter distribution tail on the radar clutter samples. The root mean square error is used as the description of the fitting effect of the polynomial model of radar clutter distribution tail, which is defined as: 。 3. The radar clutter distribution tail modeling method according to claim 1, characterized in that: The radar clutter samples are radar clutter amplitude data.

4. The radar clutter distribution tail modeling method according to claim 1, characterized in that: Said .

5. The radar clutter distribution tail modeling method according to claim 1, characterized in that: The histogram bin width ,in, is the interquartile range.

6. A method for analyzing the tailing characteristics of radar clutter distribution, characterized in that: include: A polynomial model of radar clutter distribution tail is obtained by adopting the radar clutter distribution tail modeling method as claimed in any one of claims 1 to 5; Based on the polynomial model of the radar clutter distribution tail, the clutter distribution tail characteristic of the radar clutter data is obtained.

7. A radar clutter distribution tail modeling device, characterized in that: include: The first module is used to extract radar clutter samples from radar echo data and construct a radar clutter sample set. ; The second module is used to collect radar clutter samples For the reference data, the empirical cumulative distribution function was calculated; The third module is used to set T value ， Get the empirical cumulative distribution function of the radar clutter sample set equal to T Radar clutter samples of ; The fourth module is used to select a sample greater than The radar clutter samples are used as radar clutter tail samples to obtain the radar clutter tail sample set ,Right now , ,in, is the number of radar clutter tail samples in the radar clutter tail sample set; The fifth module is used to collect radar clutter tail samples For reference data, a statistical distribution histogram is established, where the histogram box width , No. j Histogram bin height It is recorded as the logarithmic probability density function PDF, that is, j The vertical height of the histogram bins , ,in, For the j The number of radar clutter tail samples in a histogram bin, is the number of histogram bins, j The horizontal coordinates of the histogram bins are , Characterize the clutter amplitude value, ; The sixth module is used to construct a polynomial model for radar clutter tailing: in represents the K parameters to be determined in the polynomial model of radar clutter tails, is the clutter amplitude value, for of Power; The seventh module is used to statistically distribute the position and height of each histogram box in the histogram As reference data, the least square method is used to solve the polynomial model of radar clutter tail.

8. Radar clutter distribution tailing characteristics analysis device, characterized in that: include: A model building module, used to obtain a polynomial model of radar clutter distribution tail using the radar clutter distribution tail modeling method as described in any one of claims 1 to 5; The tailing characteristic analysis module is used to obtain the clutter distribution tailing characteristics of the radar clutter data based on the polynomial model of the radar clutter distribution tailing.

9. A device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the radar clutter distribution tail modeling method according to any one of claims 1 to 5 are implemented.

10. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the radar clutter distribution tail modeling method according to any one of claims 1 to 7 are implemented.

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