Direction-Finding Using Co-prime Array under Impulsive Noise. (31st August 2022)

• Record Type: Journal Article
• Authors: Sha, Xiang; Cui, Guolong
• Other Names: Gao Hongyuan Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2022(2022)
• Publication Date: 2022-08-31
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2022/3421682
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In order to achieve more accurate estimates of the existing direction-finding approaches under impulsive noise, a robust direction-finding algorithm using a coprime array is proposed in this work. In order to suppress the strong impulsive noise, we introduce an infinite norm normalization approach, and on this basis, a weighted signal subspace fitting equation using a coprime array is derived. Furthermore, we propose a quantum-inspired moth-flame algorithm to minimize the derived weighted signal subspace fitting function. Simulation results represent that our direction-finding method has the most excellent performance compared to other conventional methods. Besides, our method can address coherent sources without any additional approach.