2016Unpublished venueRequires access

An efficient DOA estimation method for uncorrelated and coherent wideband signals

Rui Guo, Yue Zhang, Qianqiang Lin, Zengping Chen

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Abstract

In this paper, a new direction of arrival (DOA) estimation algorithm is proposed when uncorrelated and coherent wideband signals coexist. The proposed method estimates the uncorrelated signals and coherent signals respectively at two different stages. It makes the method resolve more sources than the array elements. Compared with the coherent signal subspace method (CSSM), the proposed method does not require any initial DOA estimates, thus avoid errors brought by incorrect initial values. Simulation and experimental results validate the effectiveness of the proposed algorithm.

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What this paper is about

In this paper, a new direction of arrival (DOA) estimation algorithm is proposed when uncorrelated and coherent wideband signals coexist. The proposed method estimates the uncorrelated signals and coherent signals respectively at two different stages. It makes the method resolve more sources than the array elements. Compared with the coherent signal subspace method (CSSM), the proposed method does not require any initial DOA estimates, thus avoid errors brought by incorrect initial values. Simulation and experimental results validate the effectiveness of the proposed algorithm.

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Method / approach

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Available abstract

In this paper, a new direction of arrival (DOA) estimation algorithm is proposed when uncorrelated and coherent wideband signals coexist. The proposed method estimates the uncorrelated signals and coherent signals respectively at two different stages. It makes the method resolve more sources than the array elements. Compared with the coherent signal subspace method (CSSM), the proposed method does not require any initial DOA estimates, thus avoid errors brought by incorrect initial values. Simulation and experimental results validate the effectiveness of the proposed algorithm.

Key concepts: Uncorrelated, Direction of arrival, Wideband, Signal subspace, Algorithm, Subspace topology, Computer science, SIGNAL (programming language)

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