Page 55 - 《应用声学》2023年第2期

第 42 卷 第 2 期 Vol. 42, No. 2
2023 年 3 月 Journal of Applied Acoustics March, 2023

⋄ 研究报告 ⋄

浅海动态环境下蛙人探测声呐布放深度优化技术 ∗

岳文蓉 1,2 杨 娟 1† 许 枫 1

(1 中国科学院声学研究所海洋声学技术实验室 北京 100190)
(2 中国科学院大学 北京 100049)

摘要：蛙人探测声呐的探测性能及作用距离不仅与目标海区的声速剖面和自身性能参数有关，还与其布放深
度有关，其布放深度的选择对于水下目标探测具有重要意义。以射线跟踪理论为基础，建立了基于探测概率感
知的声呐性能评估模型；提出了一种声呐布放深度自适应优化算法，该算法以不同准则进行两次筛选优化后
可得到声呐最佳布放深度。仿真结果表明：在不同水文情况下，所提优化算法可以有效选择最优布放深度，进
而提高声呐对目标的探测性能。
关键词：蛙人探测声呐；布放深度；探测概率；浅海
中图法分类号: P756.6 文献标识码: A 文章编号: 1000-310X(2023)02-0243-06
DOI: 10.11684/j.issn.1000-310X.2023.02.006

Deployment depth optimization method of diver detection sonar in
dynamic shallow sea

YUE Wenrong 1,2 YANG Juan 1 XU Feng 1

(1 Ocean Acoustic Technology Laboratory, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China)
(2 University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract: The detection performance and detecting range of diver detection sonar are not only related to
the sound speed profile and work parameters, but also related to its underwater depth. It is important for
underwater target detection performance to select deployment depth. The sonar performance evaluation model
using detection probability perception is established based on ray tracing theory. An adaptive optimization
algorithm for sonar underwater depth is proposed. The optimal underwater depth of sonar can be obtained by
twice screening with different criteria. The simulation results show that the optimization algorithm is effective
and can improve the target detection performance of the sonar.
Keywords: Diver detection sonar; Underwater depth; Detection probability; Shallow sea

2021-12-20 收稿; 2022-02-24 定稿
国家重点研发计划项目 (24103), 海南省重大科技计划项目 (ZDKJ2020010)
∗
作者简介: 岳文蓉 (1997– ), 女, 山东聊城人, 博士研究生, 研究方向: 信号与信息处理。
† 通信作者 E-mail: yangjuan@mail.ioa.ac.cn