2007Unpublished venueRequires access

A new method for joint estimation of three-dimensional parameters of coherent signals

Gang Du, Yongshun Zhang, Wang Yong-liang, Jiang Xinying

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Abstract

A new method is proposed to estimate the frequency and 2- D arrival angles of coherent signals over a wide frequency band, which is called time-space smoothing DOA algorithm (TSS-DOA). Firstly the time-space smoothing matrix is constructed by temporal data and spatial data of two uniform parallel linear arrays and smoothing technique, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors. The algorithm can precisely estimate 3-D parameters of coherent signals, and doesn't need the multidimensional spectrum peak search with smaller computational load and parameters paired automatically. In addition, it can still estimate correctly 3-D parameters of signals when signals have the same one or two dimensional parameters. Simulation results show that the proposed algorithm is effective.

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What this paper is about

A new method is proposed to estimate the frequency and 2- D arrival angles of coherent signals over a wide frequency band, which is called time-space smoothing DOA algorithm (TSS-DOA). Firstly the time-space smoothing matrix is constructed by temporal data and spatial data of two uniform parallel linear arrays and smoothing technique, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors. The algorithm can precisely estimate 3-D parameters of coherent signals, and doesn't need the multidimensional spectrum peak search with smaller computational load and parameters paired automatically. In addition, it can still estimate correctly 3-D parameters of signals when signals have the same one or two dimensional parameters. Simulation results show that the proposed algorithm is effective.

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Available abstract

A new method is proposed to estimate the frequency and 2- D arrival angles of coherent signals over a wide frequency band, which is called time-space smoothing DOA algorithm (TSS-DOA). Firstly the time-space smoothing matrix is constructed by temporal data and spatial data of two uniform parallel linear arrays and smoothing technique, and then 3-D parameters of coherent signals can be obtained from its eigenvalues and the corresponding eigenvectors. The algorithm can precisely estimate 3-D parameters of coherent signals, and doesn't need the multidimensional spectrum peak search with smaller computational load and parameters paired automatically. In addition, it can still estimate correctly 3-D parameters of signals when signals have the same one or two dimensional parameters. Simulation results show that the proposed algorithm is effective.

Key concepts: Smoothing, Algorithm, Eigenvalues and eigenvectors, Computer science, Matrix (chemical analysis), Direction of arrival, Joint (building), Space (punctuation)

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