volume | PIER Journals

Abstract

Aiming at the current distributed array subarray optimization design and DOA estimation problem, a robust and effective distributed array subarray optimization method is proposed, and a discrete quantum electromagnetic field optimization algorithm is designed to quickly solve the resulting objective function to obtain the optimal subarray structure. Then, based on this array structure, the infinite-norm exponential kernel maximum likelihood method is utilized for direction of arrival (DOA) estimation. The simulation results show that the proposed method can still be effective in the case of impulsive noise, small snapshots and low signal-to-noise ratio, which further verifies that the proposed method can obtain a better subarray layout and superior DOA estimates.

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Dr. Xiang Sha

Dr. Guolong Cui

Dr. Yanan Du