CN113281709A - Radar performance evaluation method based on area coupling forecasting system - Google Patents
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Abstract
The application discloses a radar performance evaluation method based on a regional coupling forecasting system. The radar performance evaluation method based on the area coupling forecasting system comprises the following steps: each main core acquires radar information in parallel; each main core generates model parameters and sea clutter backscattering coefficients according to the radar information obtained by the main core; each master core transmits the model parameters generated by the master core, the sea clutter backscattering coefficient and radar information to a slave core connected with the master core, and the slave core generates the signal-to-noise ratio and the detection probability of each point of the azimuth corresponding to the master core in the distance dimension and transmits the signal-to-noise ratio and the detection probability to the master core; and each main core stores the signal-to-noise-and-noise ratio and the detection probability transmitted by the auxiliary core according to the radar mark and the azimuth mark so as to obtain a detection probability map of each azimuth. According to the radar performance evaluation method based on the regional coupling forecasting system, the processing is carried out by the two-stage parallel technology of the main core and the auxiliary core, and the processing speed is obviously improved.
Description
Technical Field
The invention relates to the technical field of radar performance evaluation, in particular to a radar performance evaluation method based on a regional coupling forecasting system.
Background
The radar transmits electromagnetic waves to the sea surface to monitor objects, sea surface scattering echoes received by the radar are called sea clutter, the detection and tracking of sea surface targets are seriously influenced by the presence of the sea clutter, and the working performance of a radar system is reduced. The radar performance evaluation under the sea clutter background can provide important basis for system design and sea surface target identification of the sea-related radar.
In the existing performance evaluation of the sea-related radar, the environmental parameters of a task radar coverage area are generally changed little and are equivalent to the values of environmental observation points at the positions of the radar, and a sea clutter amplitude mean value model and an amplitude distribution model are inverted. For example, Mitchell and Walker assume that a clutter unit is a zero-mean Gaussian clutter, and the detection probability of unit average constant false alarm detection is given. Shnidman replaces the Chi-squared distribution with an off-center Chi-squared distribution, discussing the probability of detection of a non-zero mean gaussian clutter background. Li Bin of Beijing postal university adopts Monte Carlo method to make theoretical analysis and simulation for radar signal detection under sea clutter background. However, natural factors such as wind speed, wind direction and surge in many sea areas change significantly, which affects the amplitude average characteristic and amplitude distribution characteristic of the sea clutter, and at this time, if the environmental parameters in the coverage area of the radar are set to the values at the position of the radar, a large error is inevitably caused, and the evaluation effect is reduced.
In addition, the conventional multi-purpose two-dimensional numerical integration method and Monte Carlo approximation method for solving the detection probability have large calculated amount, and the prior art cannot meet the requirement of real-time property along with the improvement of the radar sampling rate and the improvement of the resolution of a prediction mode.
The sea clutter detection method has the advantages that natural factors such as wind speed, wind direction and surge affect the amplitude mean value and amplitude distribution characteristics of the sea clutter, the sea clutter directly affects the detection performance of a radar system, and the characteristics of the sea clutter cannot be accurately inverted only by dispersing environmental data of a plurality of points. Meanwhile, the performance evaluation of the radar under the sea clutter background needs a large amount of two-dimensional numerical integration calculation or Monte Carlo approximation, the calculation amount is large, and the time consumption is long. Therefore, it is necessary to rapidly evaluate the detection performance of multiple radars within a limited time by using high-resolution environmental data.
The existing performance evaluation of the sea-related radar has the following problems:
a) the environmental parameters of the marine environment of the radar coverage area are not changed greatly, and the environmental parameters are equivalent to the values of the environmental observation points of the positions where the radar is located. However, natural factors such as wind speed, wind direction and surge in many sea areas change significantly, which affect the amplitude mean value characteristic and amplitude distribution characteristic of sea clutter, inevitably affect the evaluation effect, and cause large errors.
b) The performance evaluation method is generally realized in series according to the azimuth angle, and the working period of the performance evaluation of a once full-coverage area is long. When a plurality of radars need to be evaluated, the radars need to be processed in sequence, and the real-time requirement is not completely met;
c) the performance evaluation method is generally realized in series according to the azimuth angle, and the working period of the performance evaluation of a once full-coverage area is long. When a plurality of radars need to be evaluated, the radars need to be processed in sequence, and the real-time requirement is not completely met.
Disclosure of Invention
It is an object of the present invention to provide a radar performance evaluation method based on an area-coupled forecast system, which overcomes or at least alleviates at least one of the above-mentioned drawbacks of the prior art.
In one aspect of the present invention, a radar performance evaluation method based on an area coupling forecasting system is provided, where the radar performance evaluation method based on the area coupling forecasting system includes:
each main core acquires radar information in parallel, each azimuth angle has corresponding radar information, one main core corresponds to one azimuth angle, each main core acquires radar information corresponding to the corresponding azimuth angle, and the radar information comprises area forecast data, radar working parameters and radar echo data;
each main core generates model parameters and sea clutter backscattering coefficients according to the radar information obtained by the main core;
each master core transmits a model parameter, a sea clutter backscattering coefficient and radar information generated by the master core to a slave core connected with the master core, and the slave core generates a signal-to-noise ratio and a detection probability of each point of an azimuth angle corresponding to the master core connected with the slave core in a distance dimension according to the model parameter, the sea clutter backscattering coefficient and the radar information and transmits the signal-to-noise ratio and the detection probability to the master core;
and each main core stores the signal-to-noise-and-noise ratio and the detection probability transmitted by the connected auxiliary core according to the radar mark and the azimuth mark so as to obtain a detection probability map of each azimuth.
Optionally, the obtaining, in parallel, radar information by each primary core includes:
acquiring the use quantity information of the main cores;
and controlling the corresponding number of the main cores according to the using number information of the main cores to acquire radar information in parallel.
Optionally, the radar operating parameters include a transmitting power of the radar, a receiving power of the radar, a gain of the antenna, an operating wavelength of the radar, a target cross-sectional area, a range of the radar, a propagation loss, and a radar loss.
Optionally, the generating, by each primary core, the model parameter according to the radar information obtained by the primary core includes:
and each main core determines an amplitude distribution model and distribution parameters through a moment estimation method and a K-S fitting degree inspection method according to the radar information obtained by the main core.
Optionally, the sea clutter backscattering coefficients obtained by the respective primary kernels according to themselves include:
and calculating the sea clutter backscattering coefficient according to the TSC model by using the region coupling forecast data.
Optionally, the generating, by the slave kernel according to the model parameter, the sea clutter backscattering coefficient, and the radar information, a signal to noise ratio of each point in the distance dimension of the azimuth corresponding to the master kernel includes:
obtaining the signal-to-noise-and-noise ratio by the following formula:
SIR is the signal to noise ratio, PSIs a target power, PCIs the sum of clutter power and PnIs the noise power.
Optionally, the target power is obtained by the following formula:
the clutter power is obtained by the following formula:
the noise power is obtained by the following formula:
Pn＝kT0BFn。
optionally, the generating, by the slave kernel according to the model parameter, the sea clutter backscattering coefficient, and the radar information, a detection probability of each point in the distance dimension of the azimuth corresponding to the master kernel includes:
the detection probability P of the radar coverage area can be calculated by substituting the signal-to-interference-and-noise ratio and the false alarm probability into a detection probability formula determined by the sea clutter amplitude distributiond。
Advantageous effects
According to the radar performance evaluation method based on the regional coupling forecasting system, the processing is carried out by the two-stage parallel technology of the main core and the auxiliary core, and the processing speed is obviously improved.
Drawings
Fig. 1 is a schematic flowchart of a radar performance evaluation method based on a regional coupling forecasting system according to a first embodiment of the present invention.
Fig. 2 is a schematic diagram of a beam coverage area of a radar antenna of a radar performance evaluation method based on a regional coupling prediction system according to a first embodiment of the present invention.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. 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 application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
In the description of the present application, it is to be understood that the terms "central," "longitudinal," "lateral," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientation or positional relationship indicated in the drawings for convenience in describing the present application and for simplicity in description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated in a particular manner and are not to be considered limiting of the scope of the present application.
Fig. 1 is a schematic flowchart of a radar performance evaluation method based on a regional coupling forecasting system according to a first embodiment of the present invention.
The radar performance evaluation method based on the area coupling forecasting system shown in fig. 1 comprises the following steps:
step 1: each main core acquires radar information in parallel, each azimuth angle has corresponding radar information, one main core corresponds to one azimuth angle, each main core acquires radar information corresponding to the corresponding azimuth angle, and the radar information comprises area forecast data, radar working parameters and radar echo data;
step 2: each main core generates model parameters and sea clutter backscattering coefficients according to the radar information obtained by the main core;
and step 3: each master core transmits a model parameter, a sea clutter backscattering coefficient and radar information generated by the master core to a slave core connected with the master core, and the slave core generates a signal-to-noise ratio and a detection probability of each point of an azimuth angle corresponding to the master core connected with the slave core in a distance dimension according to the model parameter, the sea clutter backscattering coefficient and the radar information and transmits the signal-to-noise ratio and the detection probability to the master core;
and 4, step 4: and each main core stores the signal-to-noise-and-noise ratio and the detection probability transmitted by the connected auxiliary core according to the radar mark and the azimuth mark so as to obtain a detection probability map of each azimuth.
The application has the following advantages:
a) the real-time performance of the evaluation is improved, and the evaluation time is greatly shortened through azimuth parallel calculation.
b) The evaluation scale is improved, and the performance of multiple radars is evaluated simultaneously through the parallel calculation of the multiple radars.
c) The accuracy of radar performance evaluation is improved, the environmental data of the 'two oceans and one sea' region coupling forecast has high precision and high resolution, and the characteristics of sea clutter can be accurately inverted, so that the radar evaluation effect can be improved.
In this embodiment, the obtaining, by each master core, radar information in parallel includes:
acquiring the use quantity information of the main cores;
and controlling the corresponding number of the main cores according to the using number information of the main cores to acquire radar information in parallel.
In this embodiment, the radar operating parameters include the transmitting power of the radar, the receiving power of the radar, the gain of the antenna, the operating wavelength of the radar, the target cross-sectional area, the range of the radar, the propagation loss, and the radar loss.
In this embodiment, the generating, by each primary core, the model parameter according to the radar information obtained by the primary core includes:
and each main core determines an amplitude distribution model and distribution parameters through a moment estimation method and a K-S fitting degree inspection method according to the radar information obtained by the main core.
In this embodiment, the sea clutter backscattering coefficients obtained by each primary core according to itself include:
and calculating the sea clutter backscattering coefficient according to the TSC model by using the region coupling forecast data.
In this embodiment, the generating, by the slave kernel, the signal-to-noise ratio of each point in the distance dimension of the azimuth corresponding to the master kernel according to the model parameter, the sea clutter backscattering coefficient, and the radar information includes:
obtaining the signal-to-noise-and-noise ratio by the following formula:
SIR is the signal to noise ratio, PSIs a target power, PCIs the sum of clutter power and PnIs the noise power.
In this embodiment, the target power is obtained by the following formula:
the clutter power is obtained by the following formula:
the noise power is obtained by the following formula:
Pn＝kT0BFn。
in this embodiment, the generating, by the slave kernel, the detection probability of each point in the distance dimension of the azimuth corresponding to the master kernel according to the model parameter, the sea clutter backscattering coefficient, and the radar information includes:
bringing the SINR and the false alarm probability into a detection profile determined by the sea clutter amplitude distributionThe detection probability P of the radar coverage area can be calculated by the rate formulad。
According to the technical scheme, a domestic many-core processor is utilized, and two-stage parallel acceleration of a main core and a slave core is realized through MPI and Athread mixed programming. The main core is responsible for reading, splitting, transmitting and managing forecast environment data, radar parameters and radar echo data of the 'two seas one sea' area, and is also responsible for determining the distribution type of the sea clutter amplitude and calculating the distribution parameters, and the secondary core is responsible for calculating the sea clutter backscattering coefficient, calculating the signal-to-interference-and-noise ratio and calculating the detection probability in the radar coverage area.
a) Radar performance assessment under sea clutter background
When the radar transmits and receives a common antenna, the radar equation is
In the formula, PtFor the transmission power of radar, PrFor receiving power, G is the gain of the antenna, λ is the operating wavelength of the radar, σ is the cross-sectional area of the target, R is the range of the radar, LaFor propagation loss, LuLoss of radar.
When the radar detects a target in the sea clutter background, according to the radar equation, the target, clutter and noise power are respectively:
Pn＝kT0BFn (4)
in the formula, σtMean RCS, σ for target0Is the sea clutter backscattering coefficient, AcK is the boltzmann constant (k is 1.38 × 10) which is the resolution scale of the radar unit-23)，T0290K is the ambient reference temperature, B is the signal bandwidth, FnIs the noise coefficient, PtFor the transmission power of radar, PrFor receiving power, G is the gain of the antenna, λ is the operating wavelength of the radar, σ is the cross-sectional area of the target, R is the range of the radar, LaFor propagation loss, LuLoss of radar.
AcIs shown in FIG. 2, and the expression is
In the formula, thetaazFor the radar azimuth beam width, #gFor the scrub angle, c/(2B) is the distance resolution and c is the speed of light.
σ0According to the TSC sea clutter amplitude mean value scattering coefficient calculation, the TSC model is suitable for carrier frequencies of 0.5-30 GHz, ground wiping angles of 0.1-60 degrees and all-directional wind directions, the application range is wide, and the TSC model can better describe sea condition conditions under unknown propagation conditions.
The fluctuation statistical properties of sea clutter have a significant impact on the design of the constant false alarm rate detector and the computation of the clutter cancellation processor input signal-to-clutter ratio. Common sea clutter amplitude distribution models mainly include rayleigh distribution, log-normal distribution, weibull distribution, and K distribution. And estimating the distribution parameters of each model by using a moment estimation method according to the sea clutter actual measurement data, and determining the optimal amplitude distribution model by using a K-S fitting degree inspection method.
The detection probability P of the radar coverage area can be calculated by substituting the signal-to-interference-and-noise ratio and the false alarm probability into a detection probability formula determined by the sea clutter amplitude distributiond。
Parallel computing
The performance evaluation under the sea clutter background based on the area coupling prediction mainly comprises the following six modules: reading data (area coupling forecast data, radar working parameters and echo data), determining amplitude distribution types and distribution parameters, calculating sea clutter backscattering coefficients, calculating signal-to-noise-and-noise ratios, and solving detection probability. The method comprises the steps of determining the amplitude distribution type and distribution parameters, calculating a data intensive module of the sea clutter backscattering coefficient, calculating the signal-to-noise-ratio, and solving the detection probability, wherein the data intensive module belongs to the field of calculation. Aiming at the problems of data dependency relationship, complex calculation process and the like in the calculation process, a master-slave acceleration two-stage parallel scheme is designed through MPI + Athread mixed programming. The first-stage parallel is divided according to the number of the radars and the number of the azimuth angles, and the total parallel scale is the number of all the radar azimuth angles. The data are communicated among the data in the Shenwei 26010 processor through an MPI information interface communication protocol in parallel at the first stage, and each master core is responsible for calculating the amplitude distribution type and the distribution parameter and the sea clutter backscattering coefficient after receiving the corresponding data and parameters. And the secondary parallel carries out task division through the distance on the azimuth angle, and the signal-to-noise ratio and the detection probability are solved through 64 calculation cores. Although the slave core computation cores can directly read data from the main memory, due to the limitation of the system bandwidth and low bandwidth utilization rate when a plurality of computation cores simultaneously read data, the reasonable utilization of DMA communication to transmit the data required by the slave cores to the LDM space is the key for improving the secondary parallel performance.
1) And the main core reads the area forecast data, the radar working parameters and the radar echo data in parallel.
2) And determining the parallel scale of the main cores according to the number of the radars and the number of scanning azimuth angles of each radar, namely calculating one azimuth angle (radar working parameter) of each main core.
3) And the master core determines an amplitude distribution model and distribution parameters by using a moment estimation method and a K-S fitting degree inspection method according to the radar echo data on the azimuth angle, calculates the sea clutter backscattering coefficient according to the TSC model by using the region coupling forecast data, and sends the determined model parameters, the sea clutter backscattering coefficient and the radar parameters to the slave core by using DMA after the calculation is finished.
4) And the slave cores receive the data transmitted by the master core, calculate the signal-to-noise-and-noise ratio and the detection probability of each point on the corresponding distance dimension in the direction by using 64 slave cores, and transmit the result back to the master core by using DMA after the calculation is finished.
5) And the main core stores the result returned by the auxiliary core according to the radar mark and the azimuth mark to obtain a final detection probability map.
The radar performance evaluation method based on the area coupling forecasting system has the following advantages:
a) the accuracy of radar performance evaluation is improved, sea clutter backscattering coefficients are calculated based on environmental data of ocean-sea region coupling prediction and radar parameters, and an optimal amplitude distribution model is determined by a moment estimation method and a K-S fitting degree inspection method. The invention considers the influence of the environment on the sea clutter backscattering coefficient and the influence of the amplitude distribution on the detection performance, and the evaluation effect is improved.
b) The parallel scale and the real-time performance of evaluation are improved, the performance of multiple radars is evaluated simultaneously through the parallel scheme design, and the evaluation time is greatly shortened and the real-time performance is improved through two-stage parallel acceleration of a main core and a slave core.
c) The safety is improved, the hardware is based on a domestic many-core processor structure, the development environment is based on a domestic compiler, the data is derived from an autonomous region coupling forecasting system, and the software, the hardware and the data are all independently controllable.
By adopting the method, the following functions can be achieved:
1) and the main core reads the area forecast data, the radar working parameters and the radar echo data in parallel.
2) And determining the parallel scale of the main cores according to the number of the radars and the number of scanning azimuth angles of each radar, namely calculating one azimuth angle of each main core.
3) And the master core determines an amplitude distribution model and distribution parameters by using a moment estimation method and a K-S fitting degree inspection method according to the radar echo data on the azimuth angle, calculates the sea clutter backscattering coefficient according to the TSC model by using the region coupling forecast data, and sends the determined model parameters, the sea clutter backscattering coefficient and the radar parameters to the slave core by using DMA after the calculation is finished.
4) And the slave cores receive the data transmitted by the master core, calculate the signal-to-noise-and-noise ratio and the detection probability of each point on the corresponding distance dimension in the direction by using 64 slave cores, and transmit the result back to the master core by using DMA after the calculation is finished.
5) And the main core stores the result returned by the auxiliary core according to the radar mark and the azimuth mark to obtain a final detection probability map.
Finally, it should be pointed out that: the above examples are only for illustrating the technical solutions of the present invention, and are not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. A radar performance evaluation method based on an area coupling forecast system is characterized by comprising the following steps:
each main core acquires radar information in parallel, each azimuth angle has corresponding radar information, one main core corresponds to one azimuth angle, each main core acquires radar information corresponding to the corresponding azimuth angle, and the radar information comprises area forecast data, radar working parameters and radar echo data;
each main core generates model parameters and sea clutter backscattering coefficients according to the radar information obtained by the main core;
each master core transmits a model parameter, a sea clutter backscattering coefficient and radar information generated by the master core to a slave core connected with the master core, and the slave core generates a signal-to-noise ratio and a detection probability of each point of an azimuth angle corresponding to the master core connected with the slave core in a distance dimension according to the model parameter, the sea clutter backscattering coefficient and the radar information and transmits the signal-to-noise ratio and the detection probability to the master core;
and each main core stores the signal-to-noise-and-noise ratio and the detection probability transmitted by the connected auxiliary core according to the radar mark and the azimuth mark so as to obtain a detection probability map of each azimuth.
2. The radar performance evaluation method based on the area coupling forecast system of claim 1, wherein the parallel acquisition of radar information by each main core comprises:
acquiring the use quantity information of the main cores;
and controlling the corresponding number of the main cores according to the using number information of the main cores to acquire radar information in parallel.
3. The radar performance evaluation method based on the area coupling forecast system of claim 2, characterized in that the radar operation parameters comprise radar transmission power, radar reception power, antenna gain, radar operation wavelength, target cross-sectional area, radar range, propagation loss and radar loss.
4. The radar performance evaluation method based on the area coupling forecast system of claim 3, wherein the generating model parameters by each main core according to the radar information obtained by itself comprises:
and each main core determines an amplitude distribution model and distribution parameters through a moment estimation method and a K-S fitting degree inspection method according to the radar information obtained by the main core.
5. The radar performance evaluation method based on the area coupling forecast system of claim 4, characterized in that, the sea clutter backscattering coefficients obtained by each primary core according to itself comprise:
and calculating the sea clutter backscattering coefficient according to the TSC model by using the region coupling forecast data.
6. The method of claim 5, wherein the generating the SNR for each point in the distance dimension of the azimuth corresponding to the primary kernel according to the model parameters, the sea clutter backscattering coefficient and the radar information by the secondary kernel comprises:
obtaining the signal-to-noise-and-noise ratio by the following formula:
SIR is the signal to noise ratio, PSIs a target power, PCIs the sum of clutter power and PnIs the noise power.
7. The radar performance evaluation method based on the area coupling forecast system of claim 6, characterized in that the target power is obtained by the following formula:
the clutter power is obtained by the following formula:
the noise power is obtained by the following formula:
Pn＝kT0BFn。
8. the method of claim 7, wherein the generating the detection probability of each point in the distance dimension of the azimuth corresponding to the primary kernel according to the model parameters, the sea clutter backscattering coefficient and the radar information by the secondary kernel comprises:
the detection probability P of the radar coverage area can be calculated by substituting the signal-to-interference-and-noise ratio and the false alarm probability into a detection probability formula determined by the sea clutter amplitude distributiond。
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| CN115236607A (en) * | 2022-06-30 | 2022-10-25 | 北京邮电大学 | Radar anti-interference strategy optimization method based on double-layer Q learning |
| CN116089249A (en) * | 2023-04-10 | 2023-05-09 | 中国人民解放军63921部队 | Comprehensive capability assessment method and device for monitoring system for space target monitoring |
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