时域离散类主瓣干扰下基于样本识别的雷达和差测角方法

TN911.7; 时域离散类主瓣干扰在时域上处于离散状态,干扰训练样本不易提取,其样本纯度将直接影响干扰抑制效果和目标测角性能.针对时域离散类主瓣干扰背景下的雷达干扰抑制和目标角度估计问题,提出了一种时域离散类主瓣干扰下基于样本识别的雷达和差测角方法.该方法利用了 目标和干扰在和、差通道的时域相关性差异,由此提取纯净的干扰训练样本,然后利用空域方位维、空域俯仰维的正交性进行时域离散主瓣干扰抑制,同时估计目标角度.理论推导和仿真实验表明所提方法具备时域离散类主瓣干扰背景下的较好的雷达测角能力....

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Published in系统工程与电子技术 Vol. 45; no. 12; pp. 3764 - 3771
Main Authors 周必雷, 李荣锋, 陈辉, 陈浩, 戴凌燕, 刘维建, 李槟槟
Format Journal Article
LanguageChinese
Published 空军预警学院,湖北武汉 430019%航天南湖电子信息技术股份有限公司,湖北荆州 434000 01.12.2023
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ISSN1001-506X
DOI10.12305/j.issn.1001-506X.2023.12.06

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Abstract TN911.7; 时域离散类主瓣干扰在时域上处于离散状态,干扰训练样本不易提取,其样本纯度将直接影响干扰抑制效果和目标测角性能.针对时域离散类主瓣干扰背景下的雷达干扰抑制和目标角度估计问题,提出了一种时域离散类主瓣干扰下基于样本识别的雷达和差测角方法.该方法利用了 目标和干扰在和、差通道的时域相关性差异,由此提取纯净的干扰训练样本,然后利用空域方位维、空域俯仰维的正交性进行时域离散主瓣干扰抑制,同时估计目标角度.理论推导和仿真实验表明所提方法具备时域离散类主瓣干扰背景下的较好的雷达测角能力.
AbstractList TN911.7; 时域离散类主瓣干扰在时域上处于离散状态,干扰训练样本不易提取,其样本纯度将直接影响干扰抑制效果和目标测角性能.针对时域离散类主瓣干扰背景下的雷达干扰抑制和目标角度估计问题,提出了一种时域离散类主瓣干扰下基于样本识别的雷达和差测角方法.该方法利用了 目标和干扰在和、差通道的时域相关性差异,由此提取纯净的干扰训练样本,然后利用空域方位维、空域俯仰维的正交性进行时域离散主瓣干扰抑制,同时估计目标角度.理论推导和仿真实验表明所提方法具备时域离散类主瓣干扰背景下的较好的雷达测角能力.
Author 李荣锋
周必雷
陈辉
陈浩
戴凌燕
刘维建
李槟槟
AuthorAffiliation 空军预警学院,湖北武汉 430019%航天南湖电子信息技术股份有限公司,湖北荆州 434000
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Author_FL CHEN Hui
ZHOU Bilei
LI Rongfeng
LIU Weijian
LI Binbin
CHEN Hao
DAI Lingyan
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DocumentTitle_FL A sample-recognition-based radar sum-difference angle measurement method in time-domain discrete mainlobe jamming
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Issue 12
Keywords radar
时域离散类主瓣干扰
雷达
抗干扰
time-domain discrete mainlobe jamming(MLJ)
jamming training samples
干扰训练样本
anti-jamming
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PublicationYear 2023
Publisher 空军预警学院,湖北武汉 430019%航天南湖电子信息技术股份有限公司,湖北荆州 434000
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Snippet TN911.7; 时域离散类主瓣干扰在时域上处于离散状态,干扰训练样本不易提取,其样本纯度将直接影响干扰抑制效果和目标测角性能.针对时域离散类主瓣干扰背景下的雷达干扰抑制...
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Title 时域离散类主瓣干扰下基于样本识别的雷达和差测角方法
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