现代雷达Issue(2)：43-46,83,5.DOI:10.16592/j.cnki.1004-7859.2016.02.010
基于稀疏表示的杂波建模和微弱运动目标探测
Small Moving Target Detection Using Sparse Clutter Modeling
摘要
Abstract
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.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Key words
target detection/small moving target/clutter modeling/sparse representation/orthogonal matching pursuit分类
信息技术与安全科学引用本文复制引用
罗倩..基于稀疏表示的杂波建模和微弱运动目标探测[J].现代雷达,2016,(2):43-46,83,5.基金项目
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 （）
