基于直方图滤波的浅海声源测距算法研究  

Research on underwater sound source ranging algorithm based on histogram filtering

作　　者：刘丽丽 李京华[1] 冯晓毅[1] 石海杰 张晓彪 LIU Lili;LI Jinghua;FENG Xiaoyi;SHI Haijie;ZHANG Xiaobiao(School of Electronics and Information, Northwestern Polytechnical University, Xi′an 710072, China)

机构地区：[1]西北工业大学电子信息学院,陕西西安710072

出　　处：《西北工业大学学报》2021年第3期492-501,共10页Journal of Northwestern Polytechnical University

基　　金：近地面探测技术重点实验室项目(TCGZ2020C002)资助。

摘　　要：针对浅海移动声源的测距,提出了基于直方图滤波的水下测距算法。该算法以声传播过程中传播损失和目标运动参数以及接收信号作为先验知识,对声源位置函数形成的状态向量进行更新,从而实现浅海声源的测距,并用SwellEx-96实测海试数据库进行了算法的实验验证。结果表明:对移动声源的测距深度误差较小,而探测的水平距离在10 km范围时,水平距离最大测距误差在±10 m,并且可以通过改善目标运动参数等先验知识提高对声源测距的精度,验证了直方图滤波算法可较好地实现对水下移动目标的测距。Aiming at the distance measurement of moving sound sources in shallow seas,this paper proposes a method of histogram filtering to realize underwater distance estimation of moving sound sources in shallow seas.The algorithm used the transmission loss,target motion parameter in the sound propagation and receival signal as prior knowledge to updated the state vector of the sound source,so as to realize the distance estimation of the shallow sea sound source,and this paper used SwellEx-96 database for experimental verification.The experimental results shown that:the depth estimating error of moving sound source is small,and when the detected horizontal distance is in the range of 10 km,the maximum range error of the horizontal distance is±10 m,meanwhile the accuracy of ranging can be improved by improving the prior knowledge of the target motion parameters,which verifies that the histogram filtering algorithm can achieve better ranging for underwater moving targets.

关 键 词：水下测距 浅海声源 统计模拟方法声场建模 概率密度 直方图滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]