Performance Analysis of Sonar Target Detection Based on Vector Hydrophone Array

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) Pub Date : 2023-02-24 DOI:10.1109/ITNEC56291.2023.10081955

Zhe Chen, Shi-bai Sun, Z. Liu, Haitao Li, Yichuan Wang

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Abstract

The line-array sonar has the problem of port/starboard ambiguity. To solve this problem, based on the target spatial gain, half-power beam width and target port/starboard discrimination ability, the multi-target detection performances of different vector arrays, including line-array, circular-array, cross-array and Y-shaped array, were analyzed and compared. The simulation results show that for vector hydrophone arrays, all the arrays have their own advantages in spatial gain, beam width and target port/starboard discrimination ability. The port/starboard discrimination ability of circular-array and Y-shaped array is better than that of line-array and cross-array, but at the cost of reducing the spatial gain. And the bearing resolution of Y-shaped array is better than that of circular-array. Based on the comprehensive analysis of various index elements, the detection performance of vector Y-shaped array is the best when the spatial gain could be appropriately weaken.

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基于矢量水听器阵列的声纳目标检测性能分析

线阵声纳存在左右舷模糊问题。为解决这一问题，基于目标空间增益、半功率波束宽度和目标左右舷分辨能力，分析比较了线阵、圆阵、交叉阵和y形阵等不同矢量阵列的多目标检测性能。仿真结果表明，矢量水听器阵列在空间增益、波束宽度和目标左右舷识别能力等方面各有优势。圆阵和y阵的左右舷识别能力优于线阵和交叉阵，但以降低空间增益为代价。y型阵列的方位分辨率优于圆形阵列。综合分析各指标要素，在适当削弱空间增益的情况下，矢量y型阵列的检测性能最佳。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC)

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