子空间拓扑
干扰
噪音(视频)
到达方向
信号子空间
计算
计算机科学
多信号分类
算法
信号(编程语言)
干扰(通信)
语音识别
人工智能
电信
图像(数学)
物理
频道(广播)
天线(收音机)
热力学
程序设计语言
作者
QU Jin-you,xun Li,yijun Wen
标识
DOI:10.1109/icosp.2012.6491665
摘要
Based on the extended noise subspace, the case of weak signal direction of arrival (DOA) estimation in presence of strong jamming is studied, and a novel approach is given in this paper. Under the condition knowing the number of strong interferences, first, the method forms the extended noise subspace, then, uses the conventional multiple signal classification (MUSIC) algorithm to constrain the strong interferences effectively and estimates weak signals' DOA information accurately based on the extended noise subspace. The method does not require the angle information of strong interferences and it has the same computation burden as conventional MUSIC. Theoretic analysis and computer simulation demonstrate the method is effective and feasible.
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