一种基于多级维纳滤波的时空自适应处理算法

Cao Jing, Xue Xiaoqin, Li Qiang, Zhang Ruipeng, Song Ming, Song Weiyang
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引用次数: 0

摘要

空时自适应处理技术在天线阵信号处理站中起着重要的作用,极大地提高了天线阵信号处理站的抗干扰性能。随着时空处理维数的增加,其计算量也呈指数增长。因此,本文采用降维的方法来简化空时阵列的信号处理。采用MSNWF算法不仅可以减少计算量,而且不会影响空时算法的抗干扰性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Space-time Adaptive Processing Algorithm Based on Multi-stage Wiener Filter
The space-time adaptive processing technology plays an important role in the antenna array signal processing station, which greatly improves the anti-interference performance. As the dimension of space-time processing increases, its computational volume also increases exponentially. Therefore, this paper uses dimensionality reduction to simplify the signal processing of the space-time array. Using an MSNWF algorithm can not only reduce the amount of calculation, but also will not affect the anti-jamming performance of the space-time algorithm.
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