Volume 39, Number 3, June 2021
|Page(s)||492 - 501|
|Published online||09 August 2021|
Research on underwater sound source ranging algorithm based on histogram filtering
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
李京华(1964-), 女, 西北工业大学教授, 主要从事信号与信息处理、声探测研究。e-mail: firstname.lastname@example.org
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.
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。
Key words: underwater distance estimation / shallow sea sound source / statistical simulation method acoustic field modeling / probability density / histogram filtering
关键字 : 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
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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