A Robust DOA Tracking Method Using a Nested Array in Impulse Noise

Yufeng Wang, Dasheng Zhao, Yidu Zhang, Tiebin Wang and Yanan Du

Mathematical Problems in Engineering, 2022, vol. 2022, 1-9

Abstract: To achieve the underdetermined direction of arrival (DOA) tracking in impulse noise, we propose a robust DOA tracking method in this paper. Firstly, an infinite norm difference covariance (INDC) matrix is introduced to suppress the impulse noise. Secondly, using a nested array, we present a maximum likelihood DOA tracking equation based on the INDC matrix. Furthermore, a quantum-inspired multiverse algorithm is proposed to maximize efficiently the proposed tracking equation. The simulation results show that our method has better robustness and superiority compared to other DOA tracking methods, which can achieve underdetermined DOA tracking in impulse noise as well as in the multipath environment.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6227794

DOI: 10.1155/2022/6227794

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