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基于改进匹配追踪算法的风轮机杂波抑制

张衡 张从胜 吕伟 张一弛

空天预警研究学报2023,Vol.37Issue(6):398-402,5.
空天预警研究学报2023,Vol.37Issue(6):398-402,5.DOI:10.3969/j.issn.2097-180X.2023.06.002

基于改进匹配追踪算法的风轮机杂波抑制

Clutter suppression of wind turbines based on improved matching pursuit algorithm

张衡 1张从胜 1吕伟 1张一弛1

作者信息

  • 1. 空军预警学院,武汉 430019
  • 折叠

摘要

Abstract

In order to solve the problem that wind turbine clutters affect the search and tracking of radar tar-gets,a wind turbine clutter suppression method based on an improved matching pursuit algorithm is proposed.Firstly,the wind turbine clutter model is established.Then to address the problem of excessive computation caused by redundancy in dictionary matrix in traditional matching pursuit algorithm,the Artificial Bee Colony al-gorithm is used to roughly estimate the atomic parameters in the dictionary matrix.The range of the parameters is reduced to form a new dictionary matrix while the parameter accuracy is ensured.An improved matching pursuit algorithm is proposed and applied to the clutter suppression of wind turbines.Finally,simulation verification is conducted.The results show that the improved matching pursuit algorithm has higher operational efficiency com-pared with the traditional matching pursuit algorithm,and that it is effective to use the improved matching track-ing algorithm to suppress the clutter of wind turbines under different SNR.

关键词

风轮机/杂波抑制/匹配追踪算法/雷达

Key words

wind turbine/clutter suppression/matching pursuit algorithm/radar

分类

信息技术与安全科学

引用本文复制引用

张衡,张从胜,吕伟,张一弛..基于改进匹配追踪算法的风轮机杂波抑制[J].空天预警研究学报,2023,37(6):398-402,5.

空天预警研究学报

OACSCD

2097-180X

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