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基于直方图滤波的浅海声源测距算法研究

Translated title of the contribution: Research on underwater sound source ranging algorithm based on histogram filtering
  • Lili Liu
  • , Jinghua Li
  • , Xiaoyi Feng
  • , Haijie Shi
  • , Xiaobiao Zhang
  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Translated title of the contributionResearch on underwater sound source ranging algorithm based on histogram filtering
Original languageChinese (Traditional)
Pages (from-to)492-501
Number of pages10
JournalXibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
Volume39
Issue number3
DOIs
StatePublished - Jun 2021

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