An iterative algorithm of sub-array steered minimum variance

Xihai Jiang; Wei Wang; Xiaolin Wang; Kaiyue Zhang; Jun Wang; Kaiwei Ren

doi:10.1117/12.2631925

14 April 2022 An iterative algorithm of sub-array steered minimum variance

Xihai Jiang, Wei Wang, Xiaolin Wang, Kaiyue Zhang, Jun Wang, Kaiwei Ren

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 1217823 (2022) https://doi.org/10.1117/12.2631925
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

Large array has been widely used in underwater acoustic target detection, marine resources exploration and other fields due to its long detection distance and high azimuth resolution. Considering using steered minimum variance (STMV) algorithm in large array increases computational cost, and restricts its real-time implementation, an iterative algorithm of sub-array STMV (ISSMV) is proposed to permit real-time implementation on the limited computational resources. Theoretical analysis demonstrates that the proposed method can reduce the computational cost and eliminate the influence of strong coherent interference in weak target detection. The sea trial results show that the ISSMV algorithm maintains the high azimuth resolution of STMV and improves the ability of weak target detection while the computational cost of the proposed algorithm reduced sharply.

Citation Download Citation

Xihai Jiang, Wei Wang, Xiaolin Wang, Kaiyue Zhang, Jun Wang, and Kaiwei Ren "An iterative algorithm of sub-array steered minimum variance", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 1217823 (14 April 2022); https://doi.org/10.1117/12.2631925

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KEYWORDS

Detection and tracking algorithms

Sodium

Target detection

Sensors

Signal detection

Signal to noise ratio

Phased arrays

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