A Likelihood-Ratio Detection Method of Radar Target Based on Particle Filtering

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A Likelihood-Ratio Detection Method of Radar Target Based on Particle Filtering

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- A Likelihood-Ratio Detection Method of Radar Target Based on Particle Filtering
- Acta Electronica Sinica Vol. 38, Issue 3, Pages: 503-506(2010)
- 作者机构：
  
  空军雷达学院,湖北,武汉,430019
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957.51
- Published：2010
- 稿件说明：
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FONT face, Verdana, WANG Shou-yong, et al. A Likelihood-Ratio Detection Method of Radar Target Based on Particle Filtering[J]. Acta Electronica Sinica, 2010, 38(3): 503-506.
DOI：

FONT face, Verdana, WANG Shou-yong, et al. A Likelihood-Ratio Detection Method of Radar Target Based on Particle Filtering[J]. Acta Electronica Sinica, 2010, 38(3): 503-506. DOI：

摘要

<FONT face=Verdana>针对非高斯背景下雷达目标似然比检测统计量难以甚至无法导出的问题，给出了基于粒子滤波的似然比检测模型，并针对粒子滤波不可避免地存在粒子退化而导致检测性能下降的问题，提出将重采样引入基于粒子滤波的统计检测中，仿真结果表明重采样的引入提高了算法的检测性能.应用本文方法对SwerlingⅡ起伏目标模型在不同杂波背景下的检测性能进行了仿真，验证了算法的有效性.

Abstract

<FONT face=Verdana>In non-Gaussian background

it is not easy to obtain the radar target likelihood-ratio detection statistics usually. To solve this problem

a radar target likelihood-ratio detection model based on particle filtering is given. And resampling step has been used in the statistics detection based on particle filtering in order to solve the detection performance degressive problem which caused by the inevitable particle degeneracy. Simulation results show that the detection performance has been improved through the using of resampling. By applying the proposed method for the Swerling Case 2 radar targets detection in different clutter models

the efficiency of the given method has been proved.

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