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

Autor: Yufeng Wang, Dasheng Zhao, Yidu Zhang, Tiebin Wang
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Mathematical Problems in Engineering.
ISSN: 1024-123X
DOI: 10.1155/2022/6227794
Popis: 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.
Databáze: OpenAIRE