Dynamic programming tracking-before-detection method based on generalized likelihood ratios

A generalized likelihood ratio and dynamic programming technology, applied in the field of radar target detection and tracking, can solve the problems of weak target detection and tracking difficulties, and achieve the effect of improving the performance of detection and tracking

Active Publication Date: 2015-06-17
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to improve the design of a dynamic programming tracking method before detection based on the generalized likelihood ratio for the difficult problem of weak target detection and tracking under the compound Gaussian background, so as to improve the weak target detection and tracking performance under the compound Gaussian clutter background the goal of

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  • Dynamic programming tracking-before-detection method based on generalized likelihood ratios
  • Dynamic programming tracking-before-detection method based on generalized likelihood ratios
  • Dynamic programming tracking-before-detection method based on generalized likelihood ratios

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Embodiment Construction

[0036] 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:

[0037] Step 1: Initialize the system parameters including: the number of distance resolution units L=32, the number of processing frames K=6, the number of state transitions q=3, the shape parameter is 1, the scale parameter is 1, and the clutter covariance matrix M k ((i, j)th element is (M k ) i,j =0.9 |i-j| ) of K clutter using the threshold V calculated by Monte Carlo simulation experiments T =81.4517, shape parameter is 1, scale parameter is 1, clutter covariance matrix M k ((i, j)th element is (M k ) i,j =0.9 |i-j| ) of K clutter using the threshold V calculated by Monte Carlo simulation experiments T =81.1960, the number of transmitted coherent bursts N=4, non-zero natural number r=4;

[0038] Step 2: Assign the target track value function to each dis...

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Abstract

The invention discloses a dynamic programming tracking-before-detection method based on generalized likelihood ratios, belongs to the technical field of radar target detection and tracking, and particularly relates to the technical field of weak target detection and tracking under a compound-gaussian clutter background. When radar echo data are received, the corresponding generalized likelihood ratios of all distance resolution units are computed, and the generalized likelihood ratios serve as target track value functions to be used for dynamic programming accumulation. Compared with a traditional dynamic programming tracking-before-detection method, by means of the dynamic programming tracking-before-detection method based on the generalized likelihood ratios, the difference of a target and clutter can be better reflected, and the weak target detection and tracking performance under the compound-gaussian clutter background can be improved; the generalized likelihood ratios are selected to serve as the target track value functions to be used for dynamic programming accumulation, and the weak target detection and tracking performance under the compound-gaussian clutter background can be improved effectively compared with the traditional dynamic programming tracking-before-detection method under the condition that the specific clutter amplitude distribution type, parameters and target statistical property are unknown.

Description

technical field [0001] The invention relates to radar target detection and tracking technology, in particular to the technical field of radar detection and tracking of weak targets under compound Gaussian background. Background technique [0002] Ground / sea-based warning radars and airborne early warning radars need to have effective detection capabilities for stealth aircraft and other weak targets when implementing long-range early warning and warning tasks. Gaussian clutter models are often used for active radar target detection. The Gaussian clutter model assumes that the ground clutter and sea clutter echoes after radar envelope detection obey the Rayleigh distribution, which is correct for smooth sea conditions and uniform ground, and low-resolution radars at high grazing angles. For high-resolution radars and radars working at low grazing angles, the Gaussian clutter model cannot describe the radar clutter echo well. The main performance is that with the improvement...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/66G06F19/00
CPCG01S13/66
Inventor 易伟姜海超卢术平李小龙崔国龙孔令讲杨晓波陈建
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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