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Multi-target tracking method in radar system

A multi-target tracking and radar system technology, applied in the field of multi-target radar tracking, can solve the problems of model error, PHD filtering cannot be directly applied, etc.

Active Publication Date: 2014-12-24
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

Taking the measurement period of 12 seconds and the entire radar plane divided into 32 sectors as an example, the maximum time difference of the measured values ​​in each sector is about 0.3333 seconds. For a target with a speed of 280 m / s, such Measuring the time difference causes a model error of almost 100 meters
The time difference between different measurement sectors can even reach several seconds, and the existing PHD filtering algorithms are all for measuring and correcting the measured values ​​at the same time, which makes the existing PHD filtering unable to be directly applied to the actual radar system
[0006] The existing probability hypothesis density (PHD) filter can only realize the multi-target tracking function for the measured values ​​at the same time

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Embodiment Construction

[0060] Multi-target tracking method based on FISST measurement sector time asynchronous in radar system. The specific implementation steps are: assuming that starting from the north direction of the radar, the radar scanning interface is equally divided into N (for example N=36) sectors, as figure 2 As shown in , put the measured values ​​into different sectors according to the azimuth;

[0061] Step 1: Receive the measurement value set of the current nth (n=1, 2, ..., N) sector;

[0062] Step 2: predict the Gaussian term corresponding to the sector target state strength at the current moment according to the Gaussian term of the target state strength at the time corresponding to the previous scan period of the current nth (n=1, 2,..., N) sector; The Gaussian term of the target state intensity at the corresponding moment in the previous scanning period of the two sectors adjacent to the sector, and predict the Gaussian term of the target state intensity at the corresponding ...

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Abstract

The invention discloses a multi-target tracking method in a radar system. According to the method, on the premise of processing radar measurement values according to sectors, cross-sector multi-target tracking is achieved by conducting corresponding time prediction, measurement correction, fused trimming and target state extraction on gauss components of different sectors of radar, radar full-plane multi-target tracking under the asynchronous measurement condition is finally achieved, and therefore the problem that the traditional probability hypothesis density filter can not be directly applied to the radar system is solved. The measurement values are not required to be simultaneously measured at the same time in the whole process, the number-variable multi-target tracking problems can be solved, and compared with a traditional method such as joint probabilistic data association and multiple hypothesis tracking, the calculation burdens are small; in addition, track starting, maintaining and ending are naturally completed without being independently listed.

Description

technical field [0001] The present invention relates to the technical field of multi-target radar tracking, and more specifically, relates to a multi-target tracking method in a radar system. Background technique [0002] After decades of research and development, multi-target tracking technology has made great progress in theory and application, and has been widely used in many fields such as military affairs, aerospace, and environmental detection. [0003] The traditional multi-target tracking method simplifies the multi-target tracking problem into a single target tracking problem by introducing data association technology. Common data association techniques mainly include: nearest neighbor (NN), joint probabilistic data association (JPDA), and multiple hypothesis tracking (MHT). The NN method is simple to calculate and easy to implement, but the tracking performance is poor, such as it is easy to lose or follow the wrong target in the case of dense clutter and target c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66G06F19/00
CPCG01S13/66G01S13/723G01S13/726
Inventor 许建黄放明黄志良孙裔申廖峰刘唐兴
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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