Multi-target TBD (Track-Before-Detect) method

A forward tracking, multi-target technology, applied in the field of radar, can solve the problems of increasing the number of false alarm tracks and reducing the performance of radar detection and tracking, so as to improve the detection and tracking performance, reduce the number of value functions, and reduce the number of bars.

Active Publication Date: 2016-09-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0005] However, the dynamic programming tracking before detection algorithm has the problem of value function expansion, that is, the value function corresponding to the target state and the noise state adjacent to the target ...

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Embodiment Construction

[0028] Compared with the traditional dynamic programming tracking before detection method, the invention can effectively eliminate the value function expansion phenomenon, reduce the number of false tracks, and improve the detection and tracking performance of the adjacent target.

[0029] The present invention mainly adopts the method of simulation test for verification, and all steps and conclusions are verified correctly on MATLAB R2012b. The specific implementation steps are as follows:

[0030] Step 1: System parameter initialization. Number of distance units N r =30, the number of azimuth units N θ =30, the minimum velocity V in the distance dimension 1 =-1, the maximum velocity V in the distance dimension 2 =1, the minimum velocity V in the azimuth dimension 3 =-2, the maximum velocity V in the azimuth dimension 4 =2, accumulated frame number K=6, state transition number q=9, detection threshold V T = 14.1463.

[0031] Step 2: Establish a set of states for each ...

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Abstract

The invention discloses a multi-target TBD (Track-Before-Detect) method, belongs to the technical field of radar, and relates to a target detection and tracking method. The method can be used for the detection and tracking of a radar weak target in a strong noise/noise environment. Aiming at a problem that a conventional dynamic planning algorithm has a value function extension problem, the invention proposes a new multi-target TBD algorithm. The algorithm employs a new value function calculation mode, eliminates a value function extension phenomenon, and achieves purposes of reducing the number of false flight paths and improving the detection and tracking performance of a radar for an adjacent target. Through the correction of value function calculation, the method effectively eliminate the value function extension phenomenon, thereby reducing the number, exceeding a threshold value, of value functions, reducing the number of the false flight paths, and improving the detection and tracking performance of the adjacent target.

Description

technical field [0001] The invention belongs to the technical field of radar and relates to a target detection and tracking method, which can be used for radar weak target detection and tracking processing in a strong noise / clutter environment. Background technique [0002] With the increasing complexity of radar detection targets and working environments, it is difficult for radars to effectively detect long-range offensive targets, targets hidden in strong clutter on the ground and sea, stealth targets, etc. The radar warning time increases and the power range decreases, giving National security poses a serious threat. [0003] Using the signal processing method to realize the detection and tracking of weak targets has flexible means, low cost and broad application prospects. Usually, the tracking-before-detection algorithm can be used to jointly process multi-frame data, accumulate target energy, and improve the echo signal-to-noise ratio, thereby improving the radar's a...

Claims

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Application Information

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IPC IPC(8): G01S13/66
CPCG01S13/66
Inventor 易伟姜海超卢术平郭世盛孔令讲杨晓波崔国龙汪兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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