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DOA Estimation for Uniform Linear Array in the Presence of Unknown Mutual Coupling

Jisheng Dai, Zhongfu Ye

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Abstract

Based on special structure of coupling matrix, we present two improved algorithms for direction of arrival (DOA) estimation in the presence of unknown mutual coupling for uniform linear array (ULA). To enhance the performance of DOA estimation in the presence of unknown mutual coupling, an improved algorithm using spatial averaging algorithm is also proposed. Iteration is not required in our algorithms, which results in low computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithms.

About this research paper

What this paper is about

Based on special structure of coupling matrix, we present two improved algorithms for direction of arrival (DOA) estimation in the presence of unknown mutual coupling for uniform linear array (ULA). To enhance the performance of DOA estimation in the presence of unknown mutual coupling, an improved algorithm using spatial averaging algorithm is also proposed. Iteration is not required in our algorithms, which results in low computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithms.

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Available abstract

Based on special structure of coupling matrix, we present two improved algorithms for direction of arrival (DOA) estimation in the presence of unknown mutual coupling for uniform linear array (ULA). To enhance the performance of DOA estimation in the presence of unknown mutual coupling, an improved algorithm using spatial averaging algorithm is also proposed. Iteration is not required in our algorithms, which results in low computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithms.

Key concepts: Coupling (piping), Algorithm, Direction of arrival, Computational complexity theory, Computer science, Matrix (chemical analysis), Mathematics, Engineering

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