2009Journal of Sichuan UniversityRequires access

Study on coherent wideband signals DOA estimation method based on narrowband signals DOA estimation method

He Pei

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Abstract

A method that the narrowband signals direction of arrival (DOA) estimation method and the wideband focusing method are used to estimate the wideband coherent signals DOA is proposed. First, The coherent signal subspace approach is used to focus a signal subspace from its each frequency point in bandwidth to a single referenced frequency point, and then a narrowband signals DOA estimating method is used to estimate direction of arrival. A new algorithm SSESPRIT which dose not need to search spectrum peak or estimate to the noise variance is used to estimate DOA, and MUSIC algorithm, classical but having to search spectrum peak, is used to estimate 1-D and 2-D direction of arrival for comparison. Simulation results verify the effectiveness of the proposed method.

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What this paper is about

A method that the narrowband signals direction of arrival (DOA) estimation method and the wideband focusing method are used to estimate the wideband coherent signals DOA is proposed. First, The coherent signal subspace approach is used to focus a signal subspace from its each frequency point in bandwidth to a single referenced frequency point, and then a narrowband signals DOA estimating method is used to estimate direction of arrival. A new algorithm SSESPRIT which dose not need to search spectrum peak or estimate to the noise variance is used to estimate DOA, and MUSIC algorithm, classical but having to search spectrum peak, is used to estimate 1-D and 2-D direction of arrival for comparison. Simulation results verify the effectiveness of the proposed method.

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Available abstract

A method that the narrowband signals direction of arrival (DOA) estimation method and the wideband focusing method are used to estimate the wideband coherent signals DOA is proposed. First, The coherent signal subspace approach is used to focus a signal subspace from its each frequency point in bandwidth to a single referenced frequency point, and then a narrowband signals DOA estimating method is used to estimate direction of arrival. A new algorithm SSESPRIT which dose not need to search spectrum peak or estimate to the noise variance is used to estimate DOA, and MUSIC algorithm, classical but having to search spectrum peak, is used to estimate 1-D and 2-D direction of arrival for comparison. Simulation results verify the effectiveness of the proposed method.

Key concepts: Narrowband, Wideband, Direction of arrival, Signal subspace, Algorithm, Bandwidth (computing), Subspace topology, Computer science

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