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A Dynamic Programming Track-Before-Detect Method Based on Generalized Likelihood Ratio

A generalized likelihood ratio and dynamic programming technology, which is applied in the field of radar target detection and tracking, can solve the problem of difficult detection and tracking of weak targets, and achieve the effect of improving the detection and tracking performance.

Active Publication Date: 2017-05-10
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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  • A Dynamic Programming Track-Before-Detect Method Based on Generalized Likelihood Ratio
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  • A Dynamic Programming Track-Before-Detect Method Based on Generalized Likelihood Ratio

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[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 dist...

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Abstract

The invention discloses a generalized likelihood ratio-based dynamic programming detection-before-tracking method, which 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 the background of compound Gaussian clutter. After receiving the radar echo data, the generalized likelihood ratio corresponding to each range resolution unit is calculated, and the generalized likelihood ratio is used as a function of the target track value for dynamic programming accumulation. Compared with the traditional dynamic programming tracking before detection method, it can better reflect the difference between the target and the clutter, and improve the detection and tracking performance of the weak target in the compound Gaussian clutter background. Selecting the generalized likelihood ratio as the target track value function for dynamic programming accumulation can effectively improve the composite Gaussian clutter compared with the traditional dynamic programming tracking before detection method without knowing the specific clutter amplitude distribution type, parameters and target statistical characteristics. Detection and tracking performance of faint targets.

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 Patents(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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