《计算机应用研究》|Application Research of Computers

一种基于局部变换处理的干扰抵消后置处理方法

Post-processing method of interference suppression based on local transform processing

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作者 王思秀,张蕾,刘文,郭文强
机构 1.新疆财经大学 计算机科学与工程学院,乌鲁木齐 830012;2.新疆工程学院,电气与信息工程系,乌鲁木齐 830023
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文章编号 1001-3695(2021)01-051-0256-04
DOI 10.19734/j.issn.1001-3695.2019.11.0609
摘要 针对基于阻塞矩阵方式抵消干扰产生的探测影区问题,提出了一种基于局部变换处理的干扰抵消后置处理方法。首先根据干扰抵消方位对接收阵拾取数据进行线性变换处理,合成一组新数据;其次采用空间谱合成方法对新数据进行变换处理,得到空间各方位对应空间谱;然后采用局部变换处理方法,提取空间谱基底变化量;最后采用空间谱基底变化量对空间谱进行均衡处理,降低探测影区。数值仿真和数据处理均表明,该方法通过对干扰抵消后空间谱进行局部非线性均衡处理,减小了空间谱基底变化量,将探测影区缩小到了3°以内,改善了基于阻塞矩阵方式干扰抵消方法。
关键词 干扰抵消; 探测影区; 局部变换; 非线性均衡
基金项目 新疆维吾尔自治区自然科学基金资助项目(2017D01A23)
本文URL http://www.arocmag.com/article/01-2021-01-051.html
英文标题 Post-processing method of interference suppression based on local transform processing
作者英文名 Wang Sixiu, Zhang Lei, Liu Wen, Guo Wenqiang
机构英文名 1.College of Computer Science & Engineering,Xinjiang University of Finance & Economics,Urumqi 830012,China;2.Dept. of Electrical & Information Engineering,Xinjiang Institute of Engineering,Urumqi 830023,China
英文摘要 For the detection blind zone problem of interference suppression method based on block matrix, this paper proposed a post-processing method of interference suppression based on local transform processing. Firstly, the method used linear transform synthesize a set data on the interference suppression azimuth. Secondly, it obtained the corresponding spatial spectrum of each spatial azimuth by spatial spectrum synthesis method. Then, it extracted the base change value of spatial spectral by local transformation. Finally, it equalized the spatial spectrum by the base change value of spatial spectrum and reduced the detection blind zone. The numerical simulation and data processing results show that, this method reduces the change value of spatial spectrum base through local nonlinear equalization of spatial spectrum after interference suppression, reduces detection blind zone within 3°, and improves interference suppression method based on block matrix.
英文关键词 interference suppression; detection blind zone; local transform; nonlinear equalization
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收稿日期 2019/11/15
修回日期 2020/1/8
页码 256-259
中图分类号 TN911.7
文献标志码 A