CN117647787B - Signal joint processing method for distributed detection system - Google Patents
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Abstract
The invention belongs to the technical field of radar detection, and particularly relates to a signal joint processing method of a distributed detection system. The distributed target detection system with flexible scheduling can be formed by carrying out data synchronization, combined signal processing and comprehensive management on a plurality of detectors deployed in a certain area. The wide area distributed detection system comprises a plurality of spatially dispersed detectors, a transmission unit and a central processing unit, wherein the spatially dispersed detectors are spatial energy radiation and receiving components, the spatially dispersed detectors are sent to the central processing unit through the transmission unit after signal preprocessing, the transmission unit connects the plurality of detectors with the central processing unit, real-time interaction of data, synchronous information and monitoring instruction transmission are realized, and the central processing unit collects data of the plurality of detectors for joint analysis and processing, so that a detection function is realized.
Description
Technical Field
The invention belongs to the technical field of radar detection, and particularly relates to a signal joint processing method of a distributed detection system. The method can perform data synchronization, joint signal processing and comprehensive management on a plurality of detectors deployed in a certain area, and forms the target detection capability with powerful functions and flexible scheduling.
Background
Conventional detection systems are generally lumped, i.e. the main units included in the detection system, such as antenna and radio frequency, signal generation, signal sampling, signal processing, etc., are spatially disposed together, the signal processing and target detection are locally performed, and the processing procedures of beam forming, pulse compression, moving target detection, etc., sequentially perform corresponding processing tasks according to a locally formed unified time sequence.
In addition, the processing of the radar networking system is cooperative data processing based on detection information, single radars in the radar networking system complete respective signal processing and target detection tasks, and the formed target detection information is transmitted to a processing center for data fusion processing. The radar networking process only carries out fusion processing on radar target data, so that information collection in a networking system is realized, the overall measurement accuracy and track integrity can be improved to a certain extent, but stronger detection performance cannot be formed. The data fusion processing process of the radar networking system mainly comprises information processing works such as coordinate conversion, track matching, track fusion and the like.
Disclosure of Invention
The invention provides a signal joint processing method of a distributed detection system for solving the problem of multi-sensor joint target detection of wide area deployment, which realizes joint signal processing of a plurality of detectors and forms detection capability with flexible scheduling and excellent performance.
The invention aims to solve the problems that:
a signal joint processing method of a distributed detection system comprises the following steps:
step 1, a central processing unit transmits control information of monitoring parameters to each detector through a transmission unit, and each detector performs single-point airspace beam forming processing according to the received parameters and returns a processing result;
step 2, each detector marks the processed single-point airspace beam forming data according to the synchronous information and then sends the data to the central processing unit through the transmission unit, wherein the content of the data mark comprises a working mode, a detector mark, a detector coordinate, beam information, a waveform type, waveform information and time;
step 3, the central processing unit analyzes the received data of each detector and then performs combined beam forming processing, and the data of each detector is subjected to different data weighting and signal synthesis processing to realize energy focusing of a preset airspace;
step 4, the central processing unit performs pulse pressure processing and matched filtering on the data after the combined beam forming according to the current transmitting waveform information to form space grid-distance dimension data;
step 5, the central processing unit accumulates space grid-distance dimension data within a set time, and performs moving target detection processing and energy accumulation to form space grid-distance-speed multidimensional data;
and 6, the central processing unit performs constant false alarm target detection in the multidimensional data space to realize target detection.
Further, the specific process of the step 1 is as follows:
the central processing unit transmits control information of monitoring parameters to each detector through the transmission unit, the transmitted monitoring parameter information is configured according to different detection tasks and detection airspace, and the specific monitoring parameters comprise a working mode, beam information and waveform information;
a detector calculates and generates the beam forming data of each array element according to the direction of the beam information, the firstThe beam forming data of each detector is as follows: />Wherein->Is->Received signals of individual array elements, < >>Is->Beam direction angle of individual detectors, +.>Is the direction angle +.>Is>Guide vector of each array element, < >>The number of the detector elements; co-form->Beam data of individual detectors->。
Further, the specific process of the step 3 is as follows:
the central processing unit divides the physical space to be detected into a plurality of three-dimensional grid areas, takes the central coordinate position of each grid as an energy convergence point, selects one detector as a reference node, analyzes the received detector data, and performs combined beam forming processing to form a three-dimensional space comprising azimuth, pitching and distanceEnergy focusing the plaque; wherein for any search space pointThat is, any energy convergence point, the received energy focusing formula is:
；
in the method, in the process of the invention,is->The detector nodes are->Distance of the dots>For reference node->The distance between the points is chosen to be the same,is->Receive beam data of individual detector nodes, +.>Is the speed of light.
Compared with the prior art, the invention has the advantages that:
the invention realizes signal level energy accumulation by the combined treatment of a plurality of distributed detectors, improves the energy focusing accuracy by more than one order of magnitude, and is beneficial to improving the target detection accuracy; according to the invention, time and data synchronization is realized through detector networking, and a real-time monitoring parameter control channel is constructed, so that a detection mode and a search airspace can be flexibly set.
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FIG. 1 is a system schematic diagram of a signal joint processing method of a distributed detection system according to the present invention.
Detailed Description
The invention will now be described in further detail with reference to specific examples.
The distributed detection system comprises a plurality of spatially dispersed detectors, a transmission unit and a central processing unit, wherein the distances between the detectors and the central processing unit are usually several kilometers or even more. The plurality of spatially dispersed detectors are spatial energy radiation and receiving components, the spatially dispersed detectors are sent to the central processing unit through the transmission unit after signal preprocessing, the transmission unit connects the plurality of detectors with the central processing unit to realize real-time data interaction, synchronous information and monitoring instruction transmission, and the central processing unit collects the data of the plurality of detectors to perform joint analysis and processing to realize a detection function, and the basic principle is shown in figure 1.
A signal joint processing method of a distributed detection system specifically comprises the following steps:
step 1, a central processing unit transmits monitoring parameter information to each detector through a transmission unit, and each detector performs single-point airspace beam forming processing according to the received parameters; the specific process is as follows:
the central processing unit transmits monitoring parameter information to each detector through the transmission unit, the transmitted monitoring parameter information is configured according to different detection tasks and detection airspace, and specific monitoring parameters comprise a working mode, wave beam information and wave form information;
a detector calculates and generates the beam forming data of each array element according to the direction of the beam information, the firstThe beam forming data of each detector is as follows: />Wherein->Is->Received signals of individual array elements, < >>Is->Beam direction angle of individual detectors, +.>Is the direction angle +.>Is>Guide vector of each array element, < >>The number of the detector elements; co-form->Beam data of individual detectors->。
In an embodiment, there are 1 central processing unit and 10 probes, each comprising 64 transceiver antenna elements. And the central processing unit transmits the detection airspace parameters to 10 detectors according to the detection airspace which is expected to be searched. And carrying out beam weighted synthesis on the respective 64 array elements by the 10 detectors according to the issued azimuth direction to form a single node beam pointing to the set position.
And 2, each detector marks the processed single-point airspace beam forming data according to the synchronous information and then sends the data to the central processing unit through the transmission unit, wherein the data mark content mainly comprises a working mode, a detector mark, a detector coordinate, beam information, a waveform type, waveform information, time and the like.
In an embodiment, the operation mode is represented by 1 byte, including a search mode, a tracking mode, a target indication mode, an imaging mode, and the like; the detector mark is marked by 2 bytes, and the number range of the detector is 1-65535; the coordinates of the detector are marked by 20 bytes, and the accurate position of the detector is represented by three pieces of information including longitude, latitude and altitude; the beam information includes four bytes, byte 1 represents a azimuth pointing angle, byte 2 represents an azimuth beam width, byte 3 represents a elevation pointing angle, and byte 4 represents an elevation beam width; the waveform type is identified by 1 byte and comprises linear frequency modulation, nonlinear frequency modulation, phase coded signals and the like; waveform information is marked by 6 bytes, bytes 1-2 represent signal time width, and the unit is microsecond; bytes 3-4 represent repetition frequency in microseconds; bytes 5-6 represent signal bandwidth in KHz; time is represented by 9 bytes, wherein year is represented by 2 bytes, month, day, hour, minute, second are each represented by 1 byte, and millisecond is represented by 2 bytes.
Step 3, the central processing unit analyzes the received data of each detector and then performs combined beam forming processing, and the data of each detector is subjected to different data weighting and signal synthesis processing to realize energy focusing of a preset airspace; the specific process is as follows:
the central processing unit divides the physical space to be detected into a plurality of three-dimensional grid areas, takes the central coordinate position of each grid as an energy convergence point, selects one detector as a reference node, analyzes the received detector data, and then performs combined beam forming processing to form an energy focusing patch comprising azimuth, pitching and distance three-dimensional space; wherein for any search space pointThat is, any energy convergence point, the received energy focusing formula is:
；
in the method, in the process of the invention,is->The detector nodes are->Distance of the dots>For reference node->The distance between the points is chosen to be the same,is->Receive beam data of individual detector nodes, +.>Is the speed of light.
In the embodiment, for a certain airspace, in a preset three-dimensional area range of 10km multiplied by 2km, dividing the airspace into cuboid grids with 100m multiplied by 2km as basic units, dividing 1 ten thousand grids in total, taking the central coordinate position of each grid as an energy convergence point, calculating amplitude and phase information to be weighted, and carrying out space energy synthesis; the process can adopt a parallelization calculation mode, for example, 20 GPU boards are adopted for calculation, each GPU board is distributed with 500 grid energy convergence tasks, and the requirement of real-time high-speed processing is met in a parallelization processing mode.
And 4, the central processing unit performs pulse pressure processing and matched filtering on the data after the combined beam forming according to the current transmitting waveform information to form space grid-distance dimension data.
In the embodiment, the bandwidth of the transmitting waveform is 50MHz, the transmitting signal is a 64-bit spread spectrum coded signal, space-distance dimension data is formed in 1 ten thousand gridding spaces after pulse pressure processing, and the pulse pressure processing time is 64/50 mhz=1.28 us.
And 5, accumulating the space grid-distance dimension data within the set time by the central processing unit, and performing moving target detection processing and energy accumulation to form space grid-distance-speed multidimensional data.
In the embodiment, the data after pulse pressure is accumulated for 500 periods, and the total accumulated data is 1.28us multiplied by 500=6.4 ms, and then FFT operation is carried out to realize MTD joint processing, so as to form space grid-distance-speed multidimensional processing data.
And 6, the central processing unit detects the constant false alarm target in the multidimensional data space to realize the target detection function.
In the embodiment, in each three-dimensional grid space, two-dimensional constant false alarm detection is performed according to two-dimensional parameters of distance and speed, the target detection function is completed, and finally, the target information in all the search space areas is integrated and then output.
Claims (2)
1. The signal joint processing method of the distributed detection system is characterized by comprising the following steps of:
step 1, a central processing unit transmits control information of monitoring parameters to each detector through a transmission unit, and each detector performs single-point airspace beam forming processing according to the received parameters and returns a processing result;
step 2, each detector marks the processed single-point airspace beam forming data according to the synchronous information and then sends the data to the central processing unit through the transmission unit, wherein the content of the data mark comprises a working mode, a detector mark, a detector coordinate, beam information, a waveform type, waveform information and time;
step 3, the central processing unit analyzes the received data of each detector and then performs combined beam forming processing, and the data of each detector is subjected to different data weighting and signal synthesis processing to realize energy focusing of a preset airspace; the specific process is as follows:
the central processing unit divides the physical space to be detected into a plurality of three-dimensional grid areas, takes the central coordinate position of each grid as an energy convergence point, selects one detector as a reference node, analyzes the received detector data, and performs joint beam formingForming an energy focusing patch comprising azimuth, pitch and distance three-dimensional space; wherein for any search space pointThat is, any energy convergence point, the received energy focusing formula is:
in the method, in the process of the invention,is->The detector nodes are->Distance of the dots>For reference node->Distance of the dots>Is->The beam data are received by the detector nodes, and c is the light speed;
step 4, the central processing unit performs pulse pressure processing and matched filtering on the data after the combined beam forming according to the current transmitting waveform information to form space grid-distance dimension data;
step 5, the central processing unit accumulates space grid-distance dimension data within a set time, and performs moving target detection processing and energy accumulation to form space grid-distance-speed multidimensional data;
and 6, the central processing unit performs constant false alarm target detection in the multidimensional data space to realize target detection.
2. The method for joint processing of distributed detection system signals according to claim 1, wherein the specific process in step 1 is as follows:
the central processing unit transmits control information of monitoring parameters to each detector through the transmission unit, the transmitted monitoring parameter information is configured according to different detection tasks and detection airspace, and the specific monitoring parameters comprise a working mode, beam information and waveform information;
a detector calculates and generates the beam forming data of each array element according to the direction of the beam information, the firstThe beam forming data of each detector is as follows: />Wherein->Is->Received signals of individual array elements, < >>Is->Beam direction angle of individual detectors, +.>Is the direction angle +.>Is>Guide vector of each array element, < >>The number of the detector elements; co-form->Beam data of individual detectors->、/>…/>。
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