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Direction-Finding Using Co-prime Array under Impulsive Noise

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  • Xiang Sha
  • Guolong Cui
  • Hongyuan Gao

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.

Suggested Citation

  • Xiang Sha & Guolong Cui & Hongyuan Gao, 2022. "Direction-Finding Using Co-prime Array under Impulsive Noise," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, August.
    • Handle: RePEc:hin:jnlmpe:3421682
    DOI: 10.1155/2022/3421682
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