A clutter data simulation method and device based on radar real parameter information

Abstract

The present invention provides a clutter data simulation method and apparatus based on radar real parameter information. The method includes: obtaining radar real parameter information including clutter type, antenna pointing, and lobe width; determining a clutter region based on the antenna pointing and lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of meteorological clutter scattering units; determining the clutter scattering unit area of the clutter scattering unit according to the radar real parameter information; determining the clutter backscattering coefficient of the clutter scattering unit; determining the radar cross section area according to the clutter scattering unit area and the clutter backscattering coefficient; determining the clutter power based on the radar cross section area; selecting a clutter probability distribution model according to the clutter type, and generating a clutter-related random sequence according to the clutter probability distribution model; and generating clutter data according to the radar real parameter information, the clutter power, and the clutter-related random sequence. The present invention increases the degree of coincidence between the simulated clutter data and the observed clutter data.

Description

Technical Field

[0001] The present invention relates to the technical field of radar signal simulation, and particularly to a clutter data simulation method and device based on radar real parameter information. Background Art

[0002] In all stages of the design and development of modern radar systems, it is necessary to test the performance and indicators of the radar. If all use field tests, it will consume a large amount of manpower, material resources and financial resources, and is easily affected by weather conditions, prolonging the development cycle. In addition, the repeatability of field tests is relatively poor and the control is relatively complex. The indoor simulation test has gradually become an indispensable means in the process of radar system design, analysis and performance testing due to its characteristics such as economy, flexibility and high repeatability, and is widely used in the debugging of radar systems and the inspection of the performance and indicators of the whole machine. The indoor test needs to establish a model consistent with the actual radar environment and simulate the radar environment with software or hardware. Among them, clutter is an important part of the radar environment, and some important scattering characteristics of clutter affect the radar's target detection and tracking performance. For example, the power spectrum characteristics of the clutter simulation signal are related to the performance of the radar's moving target indication filter; the amplitude fluctuation characteristics of the clutter simulation signal are related to the performance of the radar's constant false alarm rate detection processor. Thus, whether the clutter data has accuracy, generality and flexibility is an important indicator for measuring the performance of the radar's optimal detector. Therefore, accurate modeling and simulation of radar clutter play a crucial role in the development of radar.

[0003] The conventional clutter data simulation method is to simulate coherent Rayleigh distribution, lognormal distribution, Weibull distribution and K-distribution clutter data based on two typical clutter generation methods, the ZMNL method and the SIRP method. This clutter data is a random sequence that obeys a certain amplitude distribution and power spectrum distribution, without considering the actual radar environment, and cannot meet the consistency with the working system and parameter characteristics of the radar.

[0004] Therefore, there is an urgent need to propose a clutter data simulation method and device based on radar real parameter information to consider the characteristics of the actual installed radar parameters during the process of simulating clutter data, so as to improve the degree of coincidence between the simulated clutter data and the observed clutter data, and thus make the simulated clutter data consistent with the working system and parameter characteristics of the radar. Summary of the Invention

[0005] In view of this, it is necessary to provide a clutter data simulation method and device based on radar real parameter information to solve the technical problem that the clutter data generated by the conventional clutter simulation method in the prior art does not consider the characteristics of the actual installed radar parameters, resulting in a low degree of coincidence between the simulated clutter data and the actual clutter data.

[0006] On the one hand, the present invention provides a clutter data simulation method based on radar real parameter information, including:

[0007] Obtain radar parameter information, where the radar parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter;

[0008] Determine the clutter area based on the antenna pointing and the lobe width, and determine multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units in the clutter area;

[0009] Determine the clutter scattering unit area of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar parameter information;

[0010] Determine the clutter backscattering coefficient of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit;

[0011] Determine the radar cross section based on the clutter scattering unit area and the clutter backscattering coefficient;

[0012] Determine the clutter power based on the radar parameter signal and the radar cross section;

[0013] Select a clutter probability distribution model according to the clutter type, and generate a clutter-related random sequence according to the clutter probability distribution model;

[0014] Generate clutter data according to the radar parameter information, the clutter power, and the clutter-related random sequence.

[0015] In some possible implementation manners, the radar parameter information includes beam azimuth width, beam elevation width, the closest radial distance of the clutter area from the radar, the farthest radial distance of the clutter area from the radar, range resolution, azimuth quantization angle, and elevation quantization angle; the number of the multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units is:

[0016] sum = M × L × N

[0017]

[0018]

[0019]

[0020] In the formula, sum is the number of multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units; M is the number of azimuth divisions; L is the number of height divisions; N is the number of range divisions; θ az is the beam azimuth width; θ el is the beam elevation width; R minis the closest radial distance from the clutter area to the radar; R max is the farthest radial distance from the clutter area to the radar; ΔR is the range resolution; Δθ az is the azimuth quantization angle; Δθ el is the elevation quantization angle; ceil() is the ceiling operation symbol.

[0021] In some possible implementation manners, the clutter scattering unit area of the ground clutter scattering unit or the sea clutter scattering unit is:

[0022]

[0023] The clutter scattering unit area of the meteorological clutter scattering unit is:

[0024]

[0025] Wherein,

[0026] m = 1,..., M

[0027] l = 1,..., L

[0028] n = 1,..., N

[0029] R l = l × ΔR + R min

[0030] In the formula, A m,l,n is the clutter scattering unit area of the ground clutter scattering unit, the sea clutter scattering unit or the meteorological clutter scattering unit; R l is the radial distance from the l-th clutter scattering unit to the radar; c is the speed of light; τ is the radar transmit pulse width; sec() is the secant operation symbol; ψ g is the grazing angle.

[0031] In some possible implementation manners, the clutter backscattering coefficient of the ground clutter scattering unit is:

[0032]

[0033] The clutter backscattering coefficient of the sea clutter scattering unit is:

[0034]

[0035]

[0036] β = [2.44 · (ss + 1) 1.08 / 57.29

[0037] The meteorological clutter includes cloud clutter, rain clutter, and snow clutter; the clutter backscattering coefficient of the meteorological clutter scattering unit is as follows:

[0038]

[0039]

[0040]

[0041] In the formula, is the clutter backscattering coefficient; A1, A2, A3 are ground correlation coefficients; f is the radar operating frequency; ctg is the cotangent operation symbol; tg is the tangent operation symbol; ss is the sea state level; φ is the incident angle; λ is the radar operating wavelength; arcsin is the arcsine operation symbol; |K| is the reflection coefficient; M is the water content; r is the rainfall.

[0042] In some possible implementation manners, the radar cross section is as follows:

[0043]

[0044] In the formula, is the radar cross section.

[0045] In some possible implementation manners, the radar real parameter signal further includes the radar transmit power, the antenna transmit gain of each clutter scattering unit, and the antenna receive gain of each clutter scattering unit; the clutter power is as follows:

[0046]

[0047]

[0048] In the formula, P(x, y) is the clutter power at the R l distance from the radar antenna for the x-th pulse; P t is the radar transmit power; is the antenna transmit gain of each clutter scattering unit; is the antenna receive gain of each clutter scattering unit; X is the total number of pulses.

[0049] In some possible implementation manners, the clutter probability distribution model is a Rayleigh distribution model, a lognormal distribution model, a Weibull distribution model, or a K distribution model.

[0050] In some possible implementation manners, the selecting the clutter probability distribution model according to the clutter type includes:

[0051] Determine whether the clutter type is meteorological clutter;

[0052] If the clutter type is meteorological clutter, select the Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, determine whether the radar resolution is less than the preset resolution and whether the incident angle is greater than the preset incident angle.

[0053] If the radar resolution is less than the preset resolution and the incident angle is greater than the preset incident angle, select the Rayleigh distribution model; if the radar resolution is greater than or equal to the preset resolution and the incident angle is less than or equal to the preset incident angle, select any one of the lognormal distribution model, the Weibull distribution model, or the K distribution model.

[0054] In some possible implementation manners, the clutter data is:

[0055]

[0056]

[0057] Where C(x, y) is the clutter data; P(x, y) is the clutter power; h(x) is the clutter - related random sequence; is the symbol for taking the convolution operation; S t is the radar transmit signal; ΔT r (x) is the delay time of the x - th pulse transmitted by the radar relative to the 0 - th pulse; f dc is the clutter Doppler frequency; t is the time; T r (i) is the repetition period of the x - th pulse; T r (1) is the repetition period of the 0 - th pulse.

[0058] On the other hand, the present invention also provides a clutter data simulation device based on radar real - parameter information, including:

[0059] A radar real - parameter information acquisition unit, configured to acquire radar real - parameter information, where the radar real - parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter;

[0060] A clutter scattering unit determination unit, configured to determine a clutter region based on the antenna pointing and the lobe width, and determine a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of meteorological clutter scattering units in the clutter region;

[0061] A clutter scattering unit area determination unit, configured to determine the clutter scattering unit areas of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar real - parameter information;

[0062] A clutter backscattering coefficient determination unit, configured to determine the clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit;

[0063] A radar cross - section determination unit, configured to determine the radar cross - section according to the clutter scattering unit area and the clutter backscattering coefficient;

[0064] A clutter power determination unit, configured to determine the clutter power based on the radar real - parameter signal and the radar cross - section;

[0065] A correlated random sequence determination unit, configured to select a clutter probability distribution model according to the clutter type, and generate a clutter - correlated random sequence according to the clutter probability distribution model;

[0066] A clutter data generation unit, configured to generate clutter data according to the radar real - parameter information, the clutter power, and the clutter - correlated random sequence.

[0067] The beneficial effects of adopting the above - mentioned embodiments are as follows: The clutter data simulation method based on radar real - parameter information provided by the present invention determines the clutter power based on the radar real - parameter information and the radar cross - section, and generates clutter data according to the radar real - parameter information, the clutter power, and the clutter - correlated random sequence. On the basis of the traditional method of generating simulation data based on the clutter - correlated random sequence, the radar real - parameter data is fused with the clutter - correlated random sequence to simulate clutter data of different clutter types, thereby increasing the degree of coincidence between the simulated clutter data and the observed clutter data, enhancing the effectiveness and position adaptability of the simulation training equipment, and providing strong support for the debugging of the radar system and the inspection of the overall performance and indicators of the whole machine.

[0068] Furthermore, the present invention respectively performs clutter data simulation on three different types of clutter, namely ground clutter, sea clutter, and meteorological clutter, which can further improve the comprehensiveness and reliability of the simulated clutter data. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those skilled in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0070] Figure 1 It is a schematic flowchart of an embodiment of the clutter data simulation method based on radar real - parameter information provided by the present invention;

[0071] Figure 2 For the present invention Figure 1 It is a schematic flowchart of an embodiment of S107 in the present invention;

[0072] Figure 3 It is a schematic structural diagram of an embodiment of the clutter data simulation device based on radar real - parameter information provided by the present invention. Detailed implementation manners

[0073] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the protection scope of the present invention.

[0074] It should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present invention illustrate the operations implemented according to some embodiments of the present invention. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical context relationships may be reversed or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart or remove one or more operations from the flowchart under the guidance of the content of the present invention.

[0075] Some of the block diagrams shown in the drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor systems and / or microcontroller systems.

[0076] Referring to "embodiments" herein means that specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0077] The embodiments of the present invention provide a clutter data simulation method and device based on radar real parameter information, which will be described separately below.

[0078] Figure 1 It is a schematic flowchart of an embodiment of the clutter data simulation method based on radar real parameter information provided by the present invention. As Figure 1 shown, the clutter data simulation method based on radar real parameter information includes:

[0079] S101. Obtain radar real parameter information, where the radar real parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter;

[0080] S102. Determine the clutter area based on the antenna pointing and lobe width, and determine multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units in the clutter area;

[0081] S103. Determine the clutter scattering unit area of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar actual parameter information;

[0082] S104. Determine the clutter backscattering coefficient of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit;

[0083] S105. Determine the radar cross section based on the clutter scattering unit area and the clutter backscattering coefficient;

[0084] S106. Determine the clutter power based on the radar actual parameter signal and the radar cross section;

[0085] S107. Select a clutter probability distribution model according to the clutter type, and generate a clutter-related random sequence according to the clutter probability distribution model;

[0086] S108. Generate clutter data according to the radar actual parameter information, the clutter power, and the clutter-related random sequence.

[0087] Compared with the prior art, the clutter data simulation method based on radar actual parameter information provided by the embodiments of the present invention determines the clutter power based on the radar actual parameter information and the radar cross section, and generates clutter data according to the radar actual parameter information, the clutter power, and the clutter-related random sequence. On the basis of the traditional method of generating simulation data based on the clutter-related random sequence, the radar actual parameter data is fused with the clutter-related random sequence to simulate the clutter data of different clutter types, thereby increasing the degree of coincidence between the simulated clutter data and the observed clutter data, enhancing the effectiveness and position adaptability of the simulation training equipment, and providing strong support for the debugging of the radar system and the inspection of the overall performance and indicators of the whole machine.

[0088] Furthermore, the embodiments of the present invention respectively perform clutter data simulation on three different types of clutter, namely ground clutter, sea clutter, and meteorological clutter, which can further improve the comprehensiveness and reliability of the simulated clutter data.

[0089] In some embodiments of the present invention, the radar actual parameter information includes the beam azimuth width, the beam elevation width, the closest radial distance of the clutter area from the radar, the farthest radial distance of the clutter area from the radar, the range resolution, the azimuth quantization angle, and the elevation quantization angle; then the number of multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units is:

[0090] sum = M × L × N

[0091]

[0092]

[0093]

[0094] where sum is the number of multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units; M is the number of azimuth divisions; L is the number of altitude divisions; N is the number of range divisions; θ az is the beam azimuth width; θ el is the beam elevation width; R min is the nearest radial distance of the clutter area from the radar; R max is the farthest radial distance of the clutter area from the radar; ΔR is the range resolution; Δθ az is the azimuth quantization angle; Δθ el is the elevation quantization angle; ceil() is the ceiling operation symbol.

[0095] It should be understood that: the beam azimuth and elevation widths are the 3dB beam direction and elevation widths.

[0096] In some embodiments of the present invention, the clutter scattering unit area of the ground clutter scattering unit or the sea clutter scattering unit is:

[0097]

[0098] The clutter scattering unit area of the meteorological clutter scattering unit is:

[0099]

[0100] where

[0101] m = 1,..., M

[0102] l = 1,..., L

[0103] n = 1,..., N

[0104] R l = l×ΔR + R min

[0105] where A m,l,n is the clutter scattering unit area of the ground clutter scattering unit, the sea clutter scattering unit, or the meteorological clutter scattering unit; R l is the radial distance of the l-th clutter scattering unit from the radar; c is the speed of light; τ is the radar transmit pulse width; sec() is the secant operation symbol; ψ g is the grazing angle.

[0106] In some embodiments of the present invention, the clutter backscattering coefficient of the ground clutter scattering unit is:

[0107]

[0108] The clutter backscattering coefficient of the sea clutter scattering unit is:

[0109]

[0110]

[0111] β = [2.44·(ss + 1) 1.08 / 57.29

[0112] Meteorological clutter includes cloud clutter, rain clutter, and snow clutter; the clutter backscattering coefficient of the meteorological clutter scattering unit is:

[0113]

[0114]

[0115]

[0116] In the formula, is the clutter backscattering coefficient; A1, A2, A3 are ground correlation coefficients; f is the radar operating frequency; ctg is the symbol for taking the cotangent operation; tg is the symbol for taking the tangent operation; ss is the sea state level; φ is the incident angle; λ is the radar operating wavelength; arcsin is the symbol for taking the arcsine operation; |K| is the reflection coefficient; M is the water content; r is the rainfall.

[0117] It should be noted that: The sea state levels are divided into five levels from 1 to 5.

[0118] In some embodiments of the present invention, the radar cross-section is:

[0119]

[0120] In the formula, is the radar cross-section.

[0121] In some embodiments of the present invention, the radar real parameter signal further includes the radar transmit power, the antenna transmit gain of each clutter scattering unit, and the antenna receive gain of each clutter scattering unit; the clutter power is:

[0122]

[0123]

[0124] In the formula, P(x, y) is the distance of the x-th pulse from the radar antenna Rl Clutter power at; P t is the radar transmission power; is the antenna transmission gain of each clutter scattering unit; is the antenna reception gain of each clutter scattering unit; X is the total number of pulses.

[0125] In some embodiments of the present invention, the clutter probability distribution model is a Rayleigh distribution model, a lognormal distribution model, a Weibull distribution model, or a K distribution model.

[0126] In some embodiments of the present invention, as Figure 2 shown, step S107 includes:

[0127] S201. Determine whether the clutter type is meteorological clutter;

[0128] S202. If the clutter type is meteorological clutter, select the Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, determine whether the radar resolution is less than the preset resolution and whether the incident angle is greater than the preset incident angle;

[0129] S203. If the radar resolution is less than the preset resolution and the incident angle is greater than the preset incident angle, select the Rayleigh distribution model; if the radar resolution is greater than or equal to the preset resolution and the incident angle is less than or equal to the preset incident angle, select any one of the lognormal distribution model, the Weibull distribution model, or the K distribution model.

[0130] It should be understood that: the preset resolution and the preset incident angle can be set or adjusted according to the actual application scenario or empirical values. In the specific embodiments of the present invention, the preset incident angle is 5°.

[0131] When the clutter probability distribution model is the Rayleigh distribution model, generating the clutter-related random sequence in step S107 is specifically:

[0132] ① Generate independent Gaussian white noise sequences x i and x q ;

[0133] ② Filter the two sequences through the H(w) linear filter (designed by the Fourier series expansion method) to obtain y i and y q ;

[0134] ③ Calculate y i = σ a y i , y q = σ a y q , where σ a is the Rayleigh parameter;

[0135] ④ Perform a non - linear transformation on the filtering result \(y\) i +\(j\cdot y\) q , and a clutter - related random sequence \(h\) of length \(K\) with amplitude following a Rayleigh distribution and power spectrum following a Gaussian distribution is obtained.

[0136] When the clutter probability distribution model is a Weibull distribution model, the generation of the clutter - related random sequence in step S107 is specifically as follows:

[0137] ① Generate two independent random variables \(x\) following a Gaussian distribution \(N(0,1)\) i and \(x\) q ;

[0138] ② Filter the two sequences through the linear filter \(H(w)\) to obtain \(y\) i and \(y\) q ;

[0139] ③ Calculate the clutter standard deviation Update \(y\) i =\(\sigma\) b \(y\) i , \(y\) q =\(\sigma\) b \(y\) q , where \(p\) and \(q\) are Weibull parameters;

[0140] ④ Perform a non - linear transformation on the filtering result \((y\) i 2 +\(y\) q 2 ) 1 / p , and a clutter - related random sequence \(h\) of length \(K\) with amplitude following a Weibull distribution and power spectrum following a Gaussian distribution is obtained.

[0141] When the clutter probability distribution model is a log - normal distribution model, the generation of the clutter - related random sequence in step S107 is specifically as follows:

[0142] ① Generate a random variable \(x\) following a Gaussian distribution \(N(0,1)\);

[0143] ② Filter the sequence through the linear filter \(H(w)\) to obtain \(y\);

[0144] ③ Perform a linear transformation on the filtering result to obtain a random variable \(w\) following a normal distribution \(N(\ln\mu\) c , \(\sigma\) d 2 ), \(\mu\) c is the mean parameter, \(\sigma\) d 2 is the variance parameter;

[0145] ④ Perform a non - linear transformation on the random variable \(w\) \(e\) w, that is, a clutter - related random sequence h of length K with amplitude following a log - normal distribution and power spectrum following a Gaussian distribution is obtained.

[0146] When the clutter probability distribution model is the K - distribution model, the generation of the clutter - related random sequence in step S107 is specifically as follows:

[0147] ① Generate two sets of independent random variables x 1i 、x 1q and x 2i 、x 2q that follow the Gaussian distribution N(0, 1);

[0148] ② The random variables x 1i 、x 1q are filtered by the linear filter H1(w) to obtain y 1i 、y 1q , and the random variables x 2i 、x 2q are filtered by the linear filter H2(w) to obtain y 2i 、y 2q ;

[0149] ③ The filtered results are subjected to a non - linear transformation that is, a clutter - related random sequence h of length K with amplitude following a K - distribution and power spectrum following a Gaussian distribution is obtained.

[0150] In some embodiments of the present invention, step S108 is specifically as follows:

[0151] Perform power modulation, Doppler spectrum modulation, and delay modulation on the radar transmit signal S t in step S101, and finally generate the clutter data C received by a certain beam of the radar, specifically as follows:

[0152]

[0153]

[0154] where C(x, y) is the clutter data; P(x, y) is the clutter power; h(x) is the clutter - related random sequence; is the symbol for taking the convolution operation; S t is the radar transmit signal; ΔT r (x) is the delay time of the x - th pulse transmitted by the radar relative to the 0 - th pulse; f dc is the clutter Doppler frequency; t is time; T r (i) is the repetition period of the x - th pulse; T r (1) is the repetition period of the 0 - th pulse.

[0155] In summary, the clutter data simulation method based on radar actual parameter information proposed in the embodiments of the present invention adds operations of radar signal convolution, power modulation, Doppler spectrum modulation, and delay modulation on the basis of the random sequence clutter data generated by the conventional clutter simulation method that obeys a certain amplitude distribution and power spectrum distribution, so that the generated clutter data simultaneously satisfies a certain clutter probability distribution and the characteristics of actual radar parameters, realizing the fusion of conventional random statistical sequence clutter and radar actual parameter information. On the premise of ensuring the calculation amount and service performance, this method increases the degree of coincidence between the simulated clutter data and the observed clutter results, thereby enhancing the effectiveness and site adaptability of the simulation training equipment, and also providing strong support for the debugging of the radar system and the inspection of the overall performance and indicators of the whole machine.

[0156] To better implement the clutter data simulation method based on radar actual parameter information in the embodiments of the present invention, correspondingly, on the basis of the clutter data simulation method based on radar actual parameter information, the embodiments of the present invention also provide a clutter data simulation device based on radar actual parameter information, as Figure 3 shown, the clutter data simulation device 300 based on radar actual parameter information includes:

[0157] A radar actual parameter information acquisition unit 301, configured to acquire radar actual parameter information, where the radar actual parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter;

[0158] A clutter scattering unit determination unit 302, configured to determine a clutter area based on the antenna pointing and lobe width, and determine a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of meteorological clutter scattering units in the clutter area;

[0159] A clutter scattering unit area determination unit 303, configured to determine the clutter scattering unit areas of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar actual parameter information;

[0160] A clutter backscattering coefficient determination unit 304, configured to determine the clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit;

[0161] A radar cross-section determination unit 305, configured to determine the radar cross-section according to the clutter scattering unit area and the clutter backscattering coefficient;

[0162] A clutter power determination unit 306, configured to determine the clutter power based on the radar actual parameter signal and the radar cross-section;

[0163] A correlation random sequence determination unit 307, configured to select a clutter probability distribution model according to the clutter type, and generate a clutter correlation random sequence according to the clutter probability distribution model;

[0164] A clutter data generation unit 308 is configured to generate clutter data according to radar actual parameter information, clutter power, and a clutter correlation random sequence.

[0165] The clutter data simulation device 300 based on radar actual parameter information provided in the above embodiments can implement the technical solutions described in the above embodiments of the clutter data simulation method based on radar actual parameter information. The specific implementation principles of the above modules or units can be referred to the corresponding content in the above embodiments of the clutter data simulation method based on radar actual parameter information, which will not be elaborated here.

[0166] Those skilled in the art can understand that all or part of the processes for implementing the methods in the above embodiments can be completed by instructing relevant hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium is a disk, an optical disc, a read-only memory, or a random access memory, etc.

[0167] The above has introduced in detail the clutter data simulation method and device based on radar actual parameter information provided by the present invention. Specific examples are used in this article to elaborate on the principles and implementation manners of the present invention. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present invention; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A clutter data simulation method based on radar real parameter information, characterized in that, Including: Obtain radar actual parameter information, where the radar actual parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter; Determine a clutter region based on the antenna pointing and the lobe width, and determine a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of meteorological clutter scattering units in the clutter region; Determine the clutter scattering unit area of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar actual parameter information; Determine the clutter backscattering coefficient of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit; Determine the radar cross section area according to the clutter scattering unit area and the clutter backscattering coefficient; Determine the clutter power based on the radar actual parameter signal and the radar cross section area; Select a clutter probability distribution model according to the clutter type, and generate a clutter-related random sequence according to the clutter probability distribution model; Generate clutter data according to the radar actual parameter information, the clutter power, and the clutter-related random sequence; The radar actual parameter information includes beam azimuth width, beam elevation width, the closest radial distance of the clutter region from the radar, the farthest radial distance of the clutter region from the radar, range resolution, azimuth quantization angle, and elevation quantization angle; the number of the plurality of ground clutter scattering units, the plurality of sea clutter scattering units, or the plurality of meteorological clutter scattering units is: sum = M×L×N where sum is the number of multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units; M is the number of azimuth divisions; L is the number of altitude divisions; N is the number of range divisions; θ az is the beam azimuth width; θ el is the beam elevation width; R min is the nearest radial distance of the clutter area from the radar; R max is the farthest radial distance of the clutter area from the radar; ΔR is the range resolution; Δθ az is the azimuth quantization angle; Δθ el is the elevation quantization angle; ceil() is the ceiling operation symbol; The clutter data is: Where, C(x,y) is clutter data; P(x,y) is clutter power; h(x) is a clutter-related random sequence; is the symbol for convolution operation; S t is the radar transmitted signal; ΔT r (x) is the delay time of the x-th pulse transmitted by the radar relative to the 0-th pulse; f dc is the clutter Doppler frequency; t is the time; T r (i) is the repetition period of the x-th pulse; T r (1) is the repetition period of the 0-th pulse; X is the total number of pulses; R l is the radial distance of the l-th clutter scattering unit from the radar.

2. The clutter data simulation method based on radar real parameter information according to claim 1, characterized in that, The clutter scattering unit area of the ground clutter scattering unit or the sea clutter scattering unit is: The clutter scattering unit area of the meteorological clutter scattering unit is: Wherein, m = 1,..., M l＝1,...,L n = 1,..., N R l = l × ΔR + R min Where, A m,l,n is the clutter scattering unit area of the ground clutter scattering unit, sea clutter scattering unit or meteorological clutter scattering unit; c is the speed of light; τ is the radar transmit pulse width; sec() is the secant operation symbol; ψ g is the grazing angle.

3. The clutter data simulation method based on radar real parameter information according to claim 2, characterized in that, The clutter backscattering coefficient of the ground clutter scattering unit is: The clutter backscattering coefficient of the sea clutter scattering unit is: β = [2.44·(ss + 1) 1.08 / 57.29 The meteorological clutter includes cloud clutter, rain clutter, and snow clutter; the clutter backscattering coefficient of the meteorological clutter scattering unit is: In the formula, is the clutter backscattering coefficient; A1, A2, A3 are the ground correlation coefficients; f is the radar operating frequency; ctg is the symbol for taking the cotangent operation; tg is the symbol for taking the tangent operation; ss is the sea state level; φ is the incident angle; λ is the radar operating wavelength; arcsin is the symbol for taking the arcsine operation; |K| is the reflection coefficient; M is the water content; r is the rainfall.

4. The clutter data simulation method based on radar actual parameter information according to claim 3, wherein, The radar cross section area is: In the formula, is the radar cross section.

5. The clutter data simulation method based on radar actual parameter information according to claim 4, wherein, The radar actual parameter signal further includes radar transmit power, antenna transmit gain of each clutter scattering unit, and antenna receive gain of each clutter scattering unit; the clutter power is: Wherein, P(x,y) is the clutter power at a distance R from the radar antenna for the x-th pulse l ; P t is the radar transmit power; is the antenna transmit gain of each clutter scattering unit; is the antenna receive gain of each clutter scattering unit.

6. The clutter data simulation method based on radar actual parameter information according to claim 1, wherein, The clutter probability distribution model is a Rayleigh distribution model, a lognormal distribution model, a Weibull distribution model, or a K distribution model.

7. The clutter data simulation method based on radar actual parameter information according to claim 6, wherein, The selecting the clutter probability distribution model according to the clutter type includes: Judge whether the clutter type is meteorological clutter; If the clutter type is meteorological clutter, then select the Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, then judge whether the radar resolution is less than a preset resolution and whether the incident angle is greater than a preset incident angle; If the radar resolution is less than the preset resolution and the incident angle is greater than the preset incident angle, then select the Rayleigh distribution model; if the radar resolution is greater than or equal to the preset resolution and the incident angle is less than or equal to the preset incident angle, then select any one of the lognormal distribution model, the Weibull distribution model, or the K distribution model.

8. A clutter data simulation device based on radar actual parameter information, wherein, Including: A radar actual parameter information acquisition unit for acquiring radar actual parameter information, where the radar actual parameter information includes clutter type, antenna pointing, and lobe width, and the clutter type includes ground clutter, sea clutter, and meteorological clutter; A clutter scattering unit determination unit for determining a clutter area based on the antenna pointing and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of meteorological clutter scattering units in the clutter area; A clutter scattering unit area determination unit for determining the clutter scattering unit area of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit according to the radar actual parameter information; A clutter backscattering coefficient determination unit for determining the clutter backscattering coefficient of each ground clutter scattering unit, each sea clutter scattering unit, and each meteorological clutter scattering unit; A scattering cross-section area determination unit for determining the radar scattering cross-section area according to the clutter scattering unit area and the clutter backscattering coefficient; A clutter power determination unit for determining the clutter power based on the radar actual parameter signal and the radar scattering cross-section area; A correlation random sequence determination unit for selecting a clutter probability distribution model according to the clutter type, and generating a clutter correlation random sequence according to the clutter probability distribution model; A clutter data generation unit for generating clutter data according to the radar actual parameter information, the clutter power, and the clutter correlation random sequence; The radar actual parameter information includes beam azimuth width, beam elevation width, the closest radial distance of the clutter area from the radar, the farthest radial distance of the clutter area from the radar, range resolution, azimuth quantization angle, and elevation quantization angle; the number of the plurality of ground clutter scattering units, the plurality of sea clutter scattering units, or the plurality of meteorological clutter scattering units is: sum = M × L × N where sum is the number of multiple ground clutter scattering units, multiple sea clutter scattering units, or multiple meteorological clutter scattering units; M is the number of azimuth divisions; L is the number of altitude divisions; N is the number of range divisions; θ az is the beam azimuth width; θ el is the beam elevation width; R min is the nearest radial distance from the clutter area to the radar; R max is the farthest radial distance from the clutter area to the radar; ΔR is the range resolution; Δθ az is the azimuth quantization angle; Δθ el is the elevation quantization angle; ceil() is the ceiling operation symbol; The clutter data is: Wherein, C(x,y) is clutter data; P(x,y) is clutter power; h(x) is a clutter-related random sequence; is the symbol for taking the convolution operation; S t is the radar transmitted signal; ΔT r (x) is the delay time of the x-th pulse transmitted by the radar relative to the 0-th pulse; f dc is the clutter Doppler frequency; t is the time; T r (i) is the repetition period of the x-th pulse; T r (1) is the repetition period of the 0-th pulse; X is the total number of pulses; R l is the radial distance of the l-th clutter scattering unit from the radar.

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