浅海动态环境下蛙人探测声呐布放深度优化技术  

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

作　　者：岳文蓉 杨娟[1] 许枫[1] YUE Wenrong;YANG Juan;XU Feng(Ocean Acoustic Technology Laboratory,Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[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

出　　处：《应用声学》2023年第2期243-248,共6页Journal of Applied Acoustics

基　　金：国家重点研发计划项目(24103);海南省重大科技计划项目(ZDKJ2020010)。

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。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.

关 键 词：蛙人探测声呐 布放深度 探测概率 浅海 

分 类 号：P756.6[天文地球—海洋科学]