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DOA Estimation and Mutual Coupling Self-Calibration for Multiple Subarrays

Chongying Qi, Yongliang Wang, Yongshun Zhang, Hui Chen

Open publisher page 1 citations

Abstract

A new DOA estimation and mutual coupling self-calibration algorithm for multiple subarrays is proposed. By using the character of the mutual coupling matrix, the proposed method, using a one-dimensional spectral search, can provide a favorable estimation of the DOAs and the mutual coupling coefficients. Simulation results illustrate that the new algorithm possesses a better performance and can be applicable to a broad class of multiple subarray configurations.

About this research paper

What this paper is about

A new DOA estimation and mutual coupling self-calibration algorithm for multiple subarrays is proposed. By using the character of the mutual coupling matrix, the proposed method, using a one-dimensional spectral search, can provide a favorable estimation of the DOAs and the mutual coupling coefficients. Simulation results illustrate that the new algorithm possesses a better performance and can be applicable to a broad class of multiple subarray configurations.

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Available abstract

A new DOA estimation and mutual coupling self-calibration algorithm for multiple subarrays is proposed. By using the character of the mutual coupling matrix, the proposed method, using a one-dimensional spectral search, can provide a favorable estimation of the DOAs and the mutual coupling coefficients. Simulation results illustrate that the new algorithm possesses a better performance and can be applicable to a broad class of multiple subarray configurations.

Key concepts: Coupling (piping), Calibration, Computer science, Matrix (chemical analysis), Algorithm, Class (philosophy), Character (mathematics), Mathematics

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