存在未知噪声的压缩感知doa估计

IF 6.7 1区计算机科学 Q1 Physics and Astronomy

Progress in Electromagnetics Research-Pier Pub Date : 2020-01-01 DOI:10.2528/pierc20031204

A. A. Salama, M. Ahmad, M. Swamy

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引用次数: 3

摘要

提出了一种基于广义相关分解(GCD)算法的基于压缩感知的未知噪声源信号到达方向估计技术。该算法不依赖于奇异值分解，也不依赖于信号与噪声子空间的正交性。因此，不需要先验地知道源的数量就可以进行DOA估计。所提出的算法可以估计比使用的物理传感器数量更多的信号源，而不需要对信号源的性质进行任何约束或假设。它可以估计相干源信号以及使用少量快照的近间隔源信号。

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COMPRESSED SENSING DOA ESTIMATION IN THE PRESENCE OF UNKNOWN NOISE

A new compressive sensing-based direction of arrival (DOA) estimation technique for source signal detection in the presence of unknown noise, based on the generalized correlation decomposition (GCD) algorithm, is presented. The proposed algorithm does not depend on the singular value decomposition nor on the orthogonality of the signal and the noise subspaces. Hence, the DOA estimation can be done without an a priori knowledge of the number of sources. The proposed algorithm can estimate more sources than the number of physical sensors used without any constraints or assumptions about the nature of the signal sources. It can estimate coherent source signals as well as closely-spaced sources using a small number of snapshots.

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来源期刊

Progress in Electromagnetics Research-Pier 物理-电信学

CiteScore

7.20

自引率

3.00%

发文量

审稿时长

1.3 months

期刊介绍： Progress In Electromagnetics Research (PIER) publishes peer-reviewed original and comprehensive articles on all aspects of electromagnetic theory and applications. This is an open access, on-line journal PIER (E-ISSN 1559-8985). It has been first published as a monograph series on Electromagnetic Waves (ISSN 1070-4698) in 1989. It is freely available to all readers via the Internet.