CN115480227A - Clutter data simulation method and device based on radar actual parameter information - Google Patents
Clutter data simulation method and device based on radar actual parameter information Download PDFInfo
- Publication number
- CN115480227A CN115480227A CN202211256995.9A CN202211256995A CN115480227A CN 115480227 A CN115480227 A CN 115480227A CN 202211256995 A CN202211256995 A CN 202211256995A CN 115480227 A CN115480227 A CN 115480227A
- Authority
- CN
- China
- Prior art keywords
- clutter
- radar
- scattering
- scattering unit
- parameter information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/40—Means for monitoring or calibrating
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/40—Means for monitoring or calibrating
- G01S7/4052—Means for monitoring or calibrating by simulation of echoes
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
The invention provides a clutter data simulation method and a device based on radar actual parameter information, wherein the method comprises the following steps: acquiring radar parameter information including clutter types, antenna pointing directions and lobe widths; determining a clutter region based on the antenna orientation and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units; determining the clutter scattering unit area of the clutter scattering unit according to the radar actual parameter information; determining clutter backscattering coefficients of the clutter scattering unit; determining a radar scattering sectional area according to the clutter scattering unit area and the clutter backscattering coefficient; determining clutter power based on the radar scattering cross section; 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 actual parameter information, the clutter power and the clutter related random sequence. The invention increases the coincidence degree of the simulated clutter data and the observation clutter data.
Description
Technical Field
The invention relates to the technical field of radar signal simulation, in particular to a clutter data simulation method and device based on radar actual parameter information.
Background
At various stages of the design and development of modern radar systems, radar performance and indicators need to be tested. If the field test is adopted, a large amount of manpower, material resources and financial resources are consumed, the weather condition is easily influenced, and the development period is prolonged. In addition, the external field test repeatability is poor, and the control is complex. The characteristics of economy, flexibility, high repeatability and the like of the internal field simulation test gradually become an indispensable means in the design, analysis and performance test processes of the radar system, and the internal field simulation test is widely applied to debugging of the radar system and inspection of the performance and indexes of the whole machine. The infield test requires building a model consistent with the actual radar environment and simulating the radar environment by software or hardware. The clutter is an important part forming a radar environment, and some important scattering characteristics of the clutter influence the target detection and tracking performance of the radar, for example, the power spectrum characteristic of a clutter analog signal is related to the performance of a moving target display filter of the radar; the amplitude fluctuation characteristic of the clutter analog signal is related to the performance of a constant false alarm rate detection processor of the radar. Therefore, whether the clutter data has accuracy, universality and flexibility is an important index for measuring the performance of the optimal detector of the radar. Therefore, accurate modeling and simulation of radar clutter plays a crucial role in the development of radar.
The conventional clutter data simulation method is based on two typical clutter generation methods, namely a ZNL method and a SIRP method, for simulating coherent Rayleigh distribution, logarithmic normal distribution, weibull distribution and K distribution clutter data, wherein the clutter data are random sequences obeying certain amplitude distribution and power spectrum distribution, the actual radar environment is not considered, and the consistency with the working system and parameter characteristics of a radar cannot be met.
Therefore, it is urgently needed to provide a method and a device for simulating clutter data based on radar real parameter information, so as to consider real radar parameter characteristics in the process of simulating clutter data, thereby improving the fit degree of the simulated clutter data and observation clutter data, and further keeping the simulated clutter data consistent with the working physique and parameter characteristics of a radar.
Disclosure of Invention
In view of the above, it is necessary to provide a method and an apparatus for simulating clutter data based on radar real parameter information, so as to solve the technical problem in the prior art that the degree of coincidence between the simulated clutter data and the actual clutter data is low because the clutter data generated by the conventional clutter simulation method does not consider the characteristics of real radar parameters.
In one aspect, the invention provides a clutter data simulation method based on radar actual parameter information, which comprises the following steps:
acquiring radar real parameter information, wherein the radar real parameter information comprises a clutter type, an antenna direction and a lobe width, and the clutter type comprises ground clutter, sea clutter and weather clutter;
determining a clutter region based on the antenna orientation and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units for the clutter region;
determining 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;
determining clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit and each meteorological clutter scattering unit;
determining a radar scattering sectional area according to the clutter scattering unit area and the clutter backscattering coefficient;
determining clutter power based on radar actual parameter signals and the radar scattering sectional 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.
In some possible implementations, the radar parameter information includes a beam azimuth width, a beam pitch width, a clutter region closest radial distance to the radar, a clutter region farthest radial distance to the radar, a range resolution, an azimuth quantization angle, and a pitch quantization angle; the number of the plurality of ground clutter scattering units, the plurality of sea clutter scattering units or the plurality of weather clutter scattering units is:
sum＝M×L×N
in the formula, sum is the number of a plurality of ground clutter scattering units, a plurality of sea clutter scattering units or a plurality of meteorological clutter scattering units; m is the number of azimuth divisions; l is the number of height divisions; n is the number of distance divisions; theta az Is the beam azimuth width; theta el Is the beam pitch width; r is min The nearest radial distance between the clutter region and the radar is; r is max The farthest radial distance between the clutter area and the radar is taken as the radial distance; Δ R is the range resolution; delta theta az Quantifying an angle for the azimuth; delta theta el Quantizing the angle for pitch; ceil () is a sign of a ceiling operation.
In some possible implementations, the clutter scattering unit area of the ground clutter scattering unit or the sea clutter scattering unit is:
the clutter scattering unit area of meteorological clutter scattering unit is:
wherein the content of the first and second substances,
m＝1，...，M
l＝1，...，L
n＝1，...，N
R l ＝l×ΔR+R min
in the formula, A m,l,n The area of a clutter scattering unit of a ground clutter scattering unit, a sea clutter scattering unit or a weather clutter scattering unit; r is l The radial distance between the first clutter scattering unit and the radar is set; c is the speed of light; tau is the radar emission pulse width; sec () is a secant operator symbol; psi g Is used for wiping the ground.
In some possible implementations, the clutter backscatter coefficients of the ground clutter scattering unit are:
the clutter backscattering coefficient of the sea clutter scattering unit is as follows:
β＝[2.44·(ss+1) 1.08 ]/57.29
the meteorological clutters include cloud clutters, rain clutters and snow clutters; clutter backscattering coefficient of the meteorological clutter scattering unit is as follows:
in the formula (I), the compound is shown in the specification,
is clutter backscattering coefficient; a. The 1 ,A 2 ,A 3 Is the ground correlation coefficient; f is the radar working frequency; ctg is a cosecant operation symbol; tg is a tangent operation symbol; ss is the number of sea level; phi is an incident angle; λ is the radar operating wavelength; arcsin is derived fromPerforming an arcsine operation sign; | K | is the reflection coefficient; m is the water content; r is rainfall.
In some possible implementations, the radar scattering cross-sectional area is:
in the formula (I), the compound is shown in the specification,
is the radar scattering cross section.
In some possible implementations, the radar real reference signal further includes a radar transmission power, an antenna transmission gain of each clutter scattering unit, and an antenna reception gain of each clutter scattering unit; the clutter power is:
wherein P (x, y) is the x-th pulse distance radar antenna R l The clutter power of (d); p t Transmitting power for radar;
transmitting gain for the antenna of each clutter scattering unit;
receiving gain for the antenna of each clutter scattering unit; and X is the total number of pulses.
In some possible implementations, the clutter probability distribution model is a rayleigh distribution model, a log-normal distribution model, a weibull distribution model, or a K distribution model.
In some possible implementations, the selecting a clutter probability distribution model according to the clutter types includes:
judging whether the clutter type is meteorological clutter or not;
if the clutter type is meteorological clutter, selecting a Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, judging whether the radar resolution is smaller than a preset resolution and the incidence angle is larger than a preset incidence angle;
if the radar resolution is smaller than the preset resolution and the incidence angle is larger than the preset incidence angle, selecting a Rayleigh distribution model; and if the radar resolution is greater than or equal to the preset resolution and the incidence angle is less than or equal to the preset incidence angle, selecting any one of a lognormal distribution model, a Weibull distribution model or a K distribution model.
In some possible implementations, the clutter data is:
wherein C (x, y) is clutter data; p (x, y) is clutter power; h (x) is a clutter associated random sequence;
taking convolution operation symbols; s t Transmitting a signal for a radar; delta T r (x) Delay time of the x-th pulse relative to the 0 th pulse transmitted by the radar; f. of dc Is a clutter multi-peter frequency; t is time; t is r (i) The repetition period of the x pulse; t is r (1) The repetition period of the 0 th pulse.
On the other hand, the invention also provides a clutter data simulation device based on radar actual parameter information, which comprises:
the radar actual parameter information acquisition unit is used for acquiring radar actual parameter information, wherein the radar actual parameter information comprises clutter types, antenna pointing directions and lobe widths, and the clutter types comprise ground clutter, sea clutter and weather clutter;
a clutter scattering unit determining unit for determining a clutter region based on the antenna orientation and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units for the clutter region;
the clutter scattering unit area determining unit is used for determining 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;
the clutter backscattering coefficient determining unit is used for determining clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit and each meteorological clutter scattering unit;
the scattering sectional area determining unit is used for determining the radar scattering sectional area according to the area of the clutter scattering unit and the clutter backscattering coefficient;
the clutter power determination unit is used for determining clutter power based on radar actual parameter signals and the radar scattering sectional area;
the related random sequence determining unit is used for 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 the clutter data generation unit is used for generating clutter data according to the radar actual parameter information, the clutter power and the clutter related random sequence.
The beneficial effects of adopting the above embodiment are: the clutter data simulation method based on the radar real parameter information determines the clutter power based on the radar real parameter information and the radar scattering cross section, generates the clutter data according to the radar real parameter information, the clutter power and the clutter related random sequence, fuses the radar real parameter data and the clutter related random sequence on the basis of generating the simulation data based on the traditional clutter related random sequence, and simulates clutter data of different clutter types, so that the fit degree of the simulated clutter data and observed clutter data is increased, the effectiveness and the location adaptability of simulation training equipment are enhanced, and powerful support is provided for debugging of a radar system, and checking of the performance and the index of a whole machine.
Furthermore, the invention respectively carries out clutter data simulation on three different types of clutter, namely ground clutter, sea clutter and meteorological clutter, and can further improve the comprehensiveness and reliability of the simulated clutter data.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an embodiment of a clutter data simulation method based on radar parameter information according to the present invention;
FIG. 2 is a schematic flow chart of one embodiment of S107 of FIG. 1;
fig. 3 is a schematic structural diagram of an embodiment of a clutter data simulation apparatus based on radar actual parameter information according to the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the schematic drawings are not necessarily to scale. The flowcharts used in this disclosure illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flow diagrams may be performed out of order, and that steps without logical context may be performed in reverse order or concurrently. One skilled in the art, under the direction of this summary, may add one or more other operations to, or remove one or more operations from, the flowchart.
Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor systems and/or microcontroller systems.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The embodiment of the invention provides a clutter data simulation method and device based on radar actual parameter information, which are respectively explained below.
Fig. 1 is a schematic flowchart of an embodiment of a clutter data simulation method based on radar actual parameter information, shown in fig. 1, the clutter data simulation method based on radar actual parameter information includes:
s101, acquiring radar parameter information, wherein the radar parameter information comprises clutter types, antenna pointing directions and lobe widths, and the clutter types comprise ground clutter, sea clutter and weather clutter;
s102, determining a clutter region based on the antenna direction and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units or a plurality of weather clutter scattering units of the clutter region;
s103, determining clutter scattering unit areas of each ground clutter scattering unit, each sea clutter scattering unit and each meteorological clutter scattering unit according to radar parameter information;
s104, determining clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit and each weather clutter scattering unit;
s105, determining a radar scattering sectional area according to the clutter scattering unit area and the clutter backscatter coefficient;
s106, determining clutter power based on radar actual parameter signals and radar scattering sectional areas;
s107, 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 S108, generating clutter data according to the radar parameter information, the clutter power and the clutter related random sequence.
Compared with the prior art, the clutter data simulation method based on the radar real parameter information determines the clutter power based on the radar real parameter information and the radar scattering cross section, generates the clutter data according to the radar real parameter information, the clutter power and the clutter related random sequence, fuses the radar real parameter data and the clutter related random sequence on the basis of generating the simulation data based on the traditional clutter related random sequence, and simulates clutter data of different clutter types, so that the fit degree of the simulated clutter data and observed clutter data is increased, the effectiveness and the location adaptability of simulated training equipment are enhanced, and powerful support is provided for debugging of a radar system, and checking of the performance and the index of a whole machine.
Furthermore, the embodiment of the invention respectively simulates clutter data of three different types of clutter, namely ground clutter, sea clutter and meteorological clutter, and can further improve the comprehensiveness and reliability of the simulated clutter data.
In some embodiments of the invention, the radar parameter information comprises beam azimuth width, beam pitch width, clutter region closest radial distance to the radar, clutter region farthest radial distance to the radar, range resolution, azimuth quantization angle, and pitch quantization angle; the number of the plurality of ground clutter scattering units, the plurality of sea clutter scattering units or the plurality of weather clutter scattering units is as follows:
sum＝M×L×N
in the formula, sum is the number of a plurality of ground clutter scattering units, a plurality of sea clutter scattering units or a plurality of meteorological clutter scattering units; m is the number of parts of orientation division; l is the number of height divisions; n is the number of distance divisions; theta.theta. az Is the beam azimuth width; theta el A beam pitch width; r is min The nearest radial distance between the clutter region and the radar is; r max The farthest radial distance between the clutter area and the radar is; Δ R is the range resolution; delta theta az Quantifying an angle for the azimuth; delta theta el Quantizing the angle for pitch; ceil () is a rounding up operation.
It should be understood that: the beam azimuth and elevation width are 3dB beam direction and elevation width.
In some embodiments of the invention, 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 as follows:
wherein the content of the first and second substances,
m＝1，...，M
l＝1，...，L
n＝1，...，N
R l ＝l×ΔR+R min
in the formula, A m,l,n The area of a clutter scattering unit of a ground clutter scattering unit, a sea clutter scattering unit or a weather clutter scattering unit; r l The radial distance from the first clutter scattering unit to the radar; c is the speed of light; tau is the radar emission pulse width; sec () is a secant operator symbol; psi g Is used for wiping the ground.
In some embodiments of the invention, the clutter backscatter coefficients of the ground clutter scattering unit are:
the clutter backscattering coefficient of the sea clutter scattering unit is as follows:
β＝[2.44·(ss+1) 1.08 ]/57.29
the meteorological clutters include cloud clutters, rain clutters and snow clutters; clutter backscattering coefficient of the meteorological clutter scattering unit is:
in the formula (I), the compound is shown in the specification,
is clutter backscattering coefficient; a. The 1 ,A 2 ,A 3 Is the ground correlation coefficient; f is the radar working frequency; ctg is a cosecant operation symbol; tg is a tangent operation symbol; ss is the number of sea level; phi is an incident angle; lambda is the radar operating wavelength; arcsin is an inverse sine operation symbol; | K | is the reflection coefficient; m is the water content; r is rainfall.
It should be noted that: the sea state stage number is 1-5.
In some embodiments of the invention, the radar scattering cross-sectional area is:
in the formula (I), the compound is shown in the specification,
is the radar scattering cross section.
In some embodiments of the present invention, the radar real reference signal further includes a radar transmission power, an antenna transmission gain of each clutter scattering unit, and an antenna reception gain of each clutter scattering unit; the clutter power is:
wherein P (x, y) is the x-th pulse distance radar antenna R l The clutter power of (d); p t Transmitting power for the radar;
transmitting gain for the antenna of each clutter scattering unit;
for each clutter scattering unitAntenna receive gain of the element; and X is the total number of pulses.
In some embodiments of the invention, the clutter probability distribution model is a rayleigh distribution model, a lognormal distribution model, a weibull distribution model, or a K distribution model.
In some embodiments of the present invention, as shown in fig. 2, step S107 comprises:
s201, judging whether the clutter type is meteorological clutter or not;
s202, if the clutter type is meteorological clutter, selecting a Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, judging whether the radar resolution is smaller than a preset resolution and the incidence angle is larger than a preset incidence angle;
s203, if the radar resolution is smaller than the preset resolution and the incidence angle is larger than the preset incidence angle, selecting a Rayleigh distribution model; and if the radar resolution is greater than or equal to the preset resolution and the incidence angle is less than or equal to the preset incidence angle, selecting any one of a lognormal distribution model, a Weibull distribution model or a K distribution model.
It should be understood that: the preset resolution and the preset incident angle may be set or adjusted according to an actual application scenario or an empirical value, and in a specific embodiment of the present invention, the preset incident angle is 5 °.
When the clutter probability distribution model is a rayleigh distribution model, the generating of the clutter related random sequence in step S107 specifically includes:
(1) generating a Gaussian white noise sequence x obeying N (0, 1) independence i And x q ；
(2) The two sequences are respectively filtered by an H (w) linear filter (filter designed by Fourier series expansion method) to obtain y i And y q ；
(3) Calculating y i ＝σ a y i ，y q ＝σ a y q Where σ is a Is a Rayleigh parameter;
(4) the filtering result is subjected to nonlinear transformation y i +j·y q And obtaining a clutter related random sequence h with the amplitude obeying Rayleigh distribution and the power spectrum obeying Gaussian distribution and the length of K.
When the clutter probability distribution model is a weibull distribution model, the generating of the clutter correlation random sequence in step S107 specifically is:
(1) generating two independent random variables x obeying a Gaussian distribution N (0, 1) i And x q ；
(2) The two sequences are respectively filtered by an H (w) linear filter to obtain y i And y q ；
(3) Calculating clutter standard deviation
Updating y i ＝σ b y i ，y q ＝σ b y q Wherein p and q are Weibull parameters;
(4) the filtering result is non-linearly transformed (y) i 2 +y q 2 ) 1/p Obtaining a clutter related random sequence h with amplitude obeying Weibull distribution and power spectrum obeying Gaussian distribution and length of K.
When the clutter probability distribution model is a lognormal distribution model, the generating of the clutter related random sequence in step S107 specifically includes:
(1) generating a random variable x obeying a Gaussian distribution N (0, 1);
(2) filtering the sequence by an H (w) linear filter to obtain y;
(3) the filtering result is linearly transformed to obtain the normal distribution obeying N (ln mu) c ,σ d 2 ) Random variable w, mu of c As mean parameter, σ d 2 Is a variance parameter;
(4) non-linear transformation e of random variable w w Obtaining a clutter related random sequence h with the amplitude obeying the log-normal distribution and the power spectrum obeying the Gaussian distribution and the length of K.
When the clutter probability distribution model is the K distribution model, the generating of the clutter related random sequence in step S107 specifically is:
(1) generating two mutually independent sets of random variables x obeying a Gaussian distribution N (0, 1) 1i 、x 1q And x 2i 、x 2q ；
(2) Random variable x 1i 、x 1q Warp H 1 (w) filtering by a linear filter to obtain y 1i 、y 1q Random variable x 2i 、x 2q Warp H 2 (w) filtering by a linear filter to obtain y 2i 、y 2q ；
(3) The filtering result is subjected to nonlinear transformation
Obtaining a clutter related random sequence h with amplitude obeying K distribution, power spectrum obeying Gaussian distribution and length of K.
In some embodiments of the present invention, step S108 specifically includes:
for the radar emission signal S in step S101 t Power modulation, doppler spectrum modulation and delay modulation are carried out, and clutter data C received by a certain beam of the radar is finally generated, and the method specifically comprises the following steps:
wherein C (x, y) is clutter data; p (x, y) is clutter power; h (x) is a clutter associated random sequence;
taking convolution operation symbols; s t Transmitting a signal for a radar; delta T r (x) Delay time of the x-th pulse relative to the 0 th pulse transmitted by the radar; f. of dc Is a clutter multi-peter frequency; t is time; t is r (i) The repetition period of the x pulse; t is r (1) The repetition period of the 0 th pulse.
In summary, in the clutter data simulation method based on radar actual parameter information provided in the embodiment of the present invention, based on the random sequence clutter data generated by the conventional clutter simulation method and obeying a certain amplitude distribution and power spectrum distribution, operations of radar signal convolution, power modulation, doppler spectrum modulation, and delay modulation are added, so that the generated clutter data simultaneously satisfies a certain clutter probability distribution and actual radar parameter characteristics, and fusion of the conventional random statistical sequence clutter and the radar actual parameter information is achieved. On the premise of ensuring the calculated amount and the use performance, the method increases the coincidence degree of the simulated clutter data and the observed clutter result, further enhances the effectiveness and the location adaptability of the simulated training equipment, and provides powerful support for the debugging of the radar system and the inspection of the performance and the index of the whole radar system.
In order to better implement the method for simulating clutter data based on radar actual parameter information in the embodiment of the present invention, on the basis of the method for simulating clutter data based on radar actual parameter information, correspondingly, the embodiment of the present invention further provides a device for simulating clutter data based on radar actual parameter information, as shown in fig. 3, the device 300 for simulating clutter data based on radar actual parameter information includes:
a radar actual parameter information obtaining unit 301, configured to obtain radar actual parameter information, where the radar actual parameter information includes a clutter type, an antenna direction, and a lobe width, and the clutter type includes a ground clutter, a sea clutter, and a weather clutter;
a clutter scattering unit determining unit 302 for determining a clutter region based on the antenna pointing direction and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units of the clutter region;
the clutter scattering unit area determining unit 303 is used for determining clutter scattering unit areas of each ground clutter scattering unit, each sea clutter scattering unit and each weather clutter scattering unit according to radar parameter information;
a clutter backscattering coefficient determining unit 304, configured to determine clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit, and each weather clutter scattering unit;
a scattering cross-sectional area determination unit 305 for determining a radar scattering cross-sectional area from the clutter scattering unit area and the clutter backscatter coefficient;
the clutter power determination unit 306 is used for determining clutter power based on the radar actual parameter signal and the radar scattering cross section area;
a related random sequence determining unit 307, configured to 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;
and a clutter data generating unit 308, configured to generate clutter data according to the radar parameter information, the clutter power, and the clutter related random sequence.
The clutter data simulation apparatus 300 based on radar actual reference information provided in the foregoing embodiment may implement the technical solutions described in the foregoing clutter data simulation method based on radar actual reference information, and the specific implementation principles of the modules or units may refer to the corresponding contents in the foregoing clutter data simulation method based on radar actual reference information, which is not described herein again.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by instructing relevant hardware (such as a processor, a controller, etc.) by a computer program, and the computer program may be stored in a computer readable storage medium. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The clutter data simulation method and device based on radar actual parameter information provided by the invention are introduced in detail, a specific example is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for those skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A clutter data simulation method based on radar actual parameter information is characterized by comprising the following steps:
acquiring radar real parameter information, wherein the radar real parameter information comprises a clutter type, an antenna direction and a lobe width, and the clutter type comprises ground clutter, sea clutter and weather clutter;
determining a clutter region based on the antenna orientation and the lobe width, and determining a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units for the clutter region;
determining 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;
determining clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit and each meteorological clutter scattering unit;
determining a radar scattering sectional area according to the clutter scattering unit area and the clutter backscattering coefficient;
determining clutter power based on radar actual parameter signals and the radar scattering sectional 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 actual parameter information, the clutter power and the clutter related random sequence.
2. The method according to claim 1, wherein the radar parameter information comprises a beam azimuth width, a beam pitch width, a nearest radial distance of a clutter region to the radar, a farthest radial distance of the clutter region to the radar, a range resolution, an azimuth quantization angle, and a pitch quantization angle; the number of the plurality of ground clutter scattering units, the plurality of sea clutter scattering units or the plurality of weather clutter scattering units is:
sum＝M×L×N
in the formula, sum is the number of a plurality of ground clutter scattering units, a plurality of sea clutter scattering units or a plurality of meteorological clutter scattering units; m is the number of azimuth divisions; l is the number of height divisions; n is the number of distance divisions; theta az Is the beam azimuth width; theta el A beam pitch width; r min The nearest radial distance between the clutter area and the radar is; r max The farthest radial distance between the clutter area and the radar is; Δ R is the range resolution; delta theta az Quantifying an angle for the azimuth; delta theta el Quantizing the angle for pitch; ceil () is a sign of a ceiling operation.
3. The method according to claim 2, wherein the clutter data simulation method based on radar real parameter information is 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 meteorological clutter scattering unit is:
wherein the content of the first and second substances,
m＝1，...，M
l＝1，...，L
n＝1，...，N
R l ＝l×ΔR+R min
in the formula, A m,l,n As ground clutter scattering units, sea clutter scattering units, or weatherClutter scattering unit area of the clutter scattering unit; r is l The radial distance from the first clutter scattering unit to the radar; c is the speed of light; tau is the radar emission pulse width; sec () is a secant operator symbol; psi g Is the angle of wiping the ground.
4. The method according to claim 3, wherein the clutter backscattering coefficient of the ground clutter scattering unit is:
the clutter backscattering coefficient of the sea clutter scattering unit is as follows:
β＝[2.44·(ss+1) 1.08 ]/57.29
the meteorological clutters include cloud clutters, rain clutters and snow clutters; clutter backscattering coefficient of the meteorological clutter scattering unit is as follows:
in the formula (I), the compound is shown in the specification,
is clutter backscattering coefficient; a. The 1 ,A 2 ,A 3 Is the ground correlation coefficient; f is the radar working frequency; ctg is a cosecant operation symbol; tg is a tangent operation symbol; ss is a sea level; phi is an incident angle; λ is the radar operating wavelength; arcsin is an inverse sine operation symbol; | K | is the reflection coefficient; m is the water content; r is rainfall.
5. The method according to claim 4, wherein the radar scattering cross-sectional area is:
in the formula (I), the compound is shown in the specification,
is the radar scattering cross section.
6. The method according to claim 5, wherein the radar parameter signals further include radar transmission power, antenna transmission gain of each clutter scattering unit, and antenna reception gain of each clutter scattering unit; the clutter power is:
wherein P (x, y) is the x-th pulse distance radar antenna R l The clutter power of (d); p t Transmitting power for radar;
transmitting gain for the antenna of each clutter scattering unit;
receiving gain for the antenna of each clutter scattering unit; and X is the total number of pulses.
7. The radar parameter information-based clutter data simulation method 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.
8. The method according to claim 7, wherein the selecting a clutter probability distribution model according to the clutter type comprises:
judging whether the clutter type is meteorological clutter or not;
if the clutter type is meteorological clutter, selecting a Rayleigh distribution model; if the clutter type is ground clutter or sea clutter, judging whether the radar resolution is smaller than a preset resolution and the incidence angle is larger than a preset incidence angle;
if the radar resolution is smaller than the preset resolution and the incidence angle is larger than the preset incidence angle, selecting a Rayleigh distribution model; and if the radar resolution is greater than or equal to the preset resolution and the incidence angle is less than or equal to the preset incidence angle, selecting any one of a lognormal distribution model, a Weibull distribution model or a K distribution model.
9. The method according to claim 1, wherein the clutter data is:
wherein C (x, y) is clutter data; p (x, y) is clutter power; h (x) is a clutter associated random sequence;
taking convolution operation symbols; s t Transmitting a signal for a radar; delta T r (x) Delay time of the x-th pulse relative to the 0 th pulse transmitted by the radar; f. of dc Is a clutter multi-peter frequency; t is time; t is r (i) The repetition period of the x pulse; t is r (1) The repetition period of the 0 th pulse.
10. The utility model provides a clutter data analogue means based on radar actual parameter information which characterized in that includes:
the radar real parameter information acquisition unit is used for acquiring radar real parameter information, wherein the radar real parameter information comprises a clutter type, an antenna direction and a lobe width, and the clutter type comprises a ground clutter, a sea clutter and a weather clutter;
a clutter scattering unit determining unit configured to determine a clutter region based on the antenna orientation and the lobe width, and determine a plurality of ground clutter scattering units, a plurality of sea clutter scattering units, or a plurality of weather clutter scattering units of the clutter region;
the clutter scattering unit area determining unit is used for determining 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;
the clutter backscattering coefficient determining unit is used for determining clutter backscattering coefficients of each ground clutter scattering unit, each sea clutter scattering unit and each meteorological clutter scattering unit;
the scattering sectional area determining unit is used for determining the radar scattering sectional area according to the clutter scattering unit area and the clutter backscattering coefficient;
the clutter power determination unit is used for determining clutter power based on radar actual parameter signals and the radar scattering sectional area;
the related random sequence determining unit is used for selecting a clutter probability distribution model according to the clutter types and generating a clutter related random sequence according to the clutter probability distribution model;
and the clutter data generation unit is used for generating clutter data according to the radar real parameter information, the clutter power and the clutter related random sequence.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211256995.9A CN115480227A (en) | 2022-10-12 | 2022-10-12 | Clutter data simulation method and device based on radar actual parameter information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211256995.9A CN115480227A (en) | 2022-10-12 | 2022-10-12 | Clutter data simulation method and device based on radar actual parameter information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115480227A true CN115480227A (en) | 2022-12-16 |
Family
ID=84395909
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211256995.9A Pending CN115480227A (en) | 2022-10-12 | 2022-10-12 | Clutter data simulation method and device based on radar actual parameter information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115480227A (en) |
-
2022
- 2022-10-12 CN CN202211256995.9A patent/CN115480227A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110646773B (en) | Weak target detection method, tracking method and system based on automobile millimeter wave radar | |
| Ward et al. | Use of sea clutter models in radar design and development | |
| Joss et al. | Operational use of radar for precipitation measurements in Switzerland | |
| US20170139038A1 (en) | Method and signal generator for simulation of sea clutter | |
| US7652614B2 (en) | Ground clutter mitigation using a parametric time domain method | |
| Martorella et al. | On the fractal dimension of sea surface backscattered signal at low grazing angle | |
| Suomi et al. | Methodology for obtaining wind gusts using Doppler lidar | |
| Yardim et al. | Sensitivity analysis and performance estimation of refractivity from clutter techniques | |
| US20040041725A1 (en) | Radar signal processing unit and radar signal processing method | |
| Tokay et al. | A field study of footprint-scale variability of raindrop size distribution | |
| KR102013205B1 (en) | Simulation Apparatus and Method for Radar Signal Processing | |
| CN112379342B (en) | Echo simulation and echo characteristic parameter precision estimation method for satellite-borne cloud detection radar | |
| Kelberlau et al. | Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar | |
| Aoki et al. | Measurements of rainfall velocity and raindrop size distribution using coherent Doppler lidar | |
| CN114509734A (en) | Dual-polarization weather radar data quality real-time evaluation method based on raindrop spectrum | |
| CN112417757A (en) | Vehicle-mounted radar signal level simulation method, device, equipment and readable storage medium | |
| CN108414992B (en) | Target detection method based on phase information clutter map | |
| Crisologo et al. | Enhancing the consistency of spaceborne and ground-based radar comparisons by using beam blockage fraction as a quality filter | |
| Ge et al. | Impacts of beam broadening and earth curvature on storm-scale 3D variational data assimilation of radial velocity with two Doppler radars | |
| Capsoni et al. | A multiparameter polarimetric radar simulator | |
| Andersson et al. | A model for probability nowcasts of accumulated precipitation using radar | |
| KR101885922B1 (en) | Apparatus and system for generating model of clutter using radar video signal and method thereof | |
| CN115480227A (en) | Clutter data simulation method and device based on radar actual parameter information | |
| Oue et al. | Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments | |
| Sayama | Detection of target and suppression of sea and weather clutter in stormy weather by Weibull/CFAR |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |