Gridless DOA estimation in nonuniform noise for two-dimensional minimum redundant array

Changyun Qi; Gong Zhang; Yuqian Mao; Yu Zhang; Jiawen Yuan; Fangqing Wen

doi:10.1117/12.2631900

14 April 2022 Gridless DOA estimation in nonuniform noise for two-dimensional minimum redundant array

Changyun Qi, Gong Zhang, Yuqian Mao, Yu Zhang, Jiawen Yuan, Fangqing Wen

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780L (2022) https://doi.org/10.1117/12.2631900
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

A gridless direction of arrival (DOA) estimation method for the two-dimensional (2-D) minimum redundant matrix (MRA) in nonuniform noise is proposed. First, a positive semi-definite programming model for restoring covariance matrix in 2- D MRA is established, and the denoising problem is transformed into a noise-free covariance matrix recovery problem. Second, the 2-D angle estimation is obtained by the unitary esprit method. This method can suppress the influence of nonuniform noise and has high estimation accuracy. Besides, it can also realize the automatic matching of azimuth and elevation angles. Simulations and experiments comparison confirm the performance of the proposed method.

Citation Download Citation

Changyun Qi, Gong Zhang, Yuqian Mao, Yu Zhang, Jiawen Yuan, and Fangqing Wen "Gridless DOA estimation in nonuniform noise for two-dimensional minimum redundant array", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780L (14 April 2022); https://doi.org/10.1117/12.2631900

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