摘要
雷达回波中,微弱运动目标会被强杂波掩盖,造成目标探测困难。文中提出基于匹配追踪稀疏表示方法的雷达微弱运动目标探测算法,采用训练的过完备字典线性组合对杂波进行建模并解决稀疏表示问题,提高了杂波建模的准确性,利用杂波模型抑制杂波,可以从杂波背景中有效地探测微弱目标。仿真结果表明:文中提出的算法优于传统的目标探测方法,可以提高杂波抑制和微弱运动目标探测性能。
Radar target echo is usually under very strong background of clutters.The detection of small moving targets has been a difficult problem.Based on matching pursuit sparse representation technology, a novel radar small moving target detection algo-rithm is proposed in this paper.Firstly, by using the correlation and sparsity characteristics of radar clutters, the proposed algo-rithm modeling clutters as linear combinations of a trained over-complete dictionary, successfully improves the accuracy of clutter modeling.Then upon employing this model in the clutter suppression, targets can be detected effectively from background clutters. Simulation results confirm that the performance of this method outperforms the classical target detection algorithms and this algo-rithm can improve the results of small moving target detection.
出处
《现代雷达》
CSCD
北大核心
2016年第2期43-46,83,共5页
Modern Radar
基金
国家自然科学基金资助项目(61271198)
国家科技重大专项子课题资助项目(2011ZX05042-003-002)
关键词
目标探测
微弱运动目标
杂波建模
稀疏表示
正交匹配追踪
target detection
small moving target
clutter modeling
sparse representation
orthogonal matching pursuit
