一种基于粒子滤波的水声连续波信号检测前跟踪算法
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作者单位:

哈尔滨工程大学

作者简介:

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中图分类号:

TN929.3

基金项目:

国家高技术研究发展计划(批准号:2022YFC2806800),泰山学者计划。


A Track before Detect Algorithm for Underwater Acoustic Continuous-wave Signal based on Particle Filter
Author:
Affiliation:

Harbin Engineering University

Fund Project:

the National High Technology Research and Development Program of China (Grant No. 2022YFC2806800),the Taishan Scholars Program.

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    摘要:

    本文针对水声双扩展信道背景下的连续波信号跟踪问题,提出了一种基于粒子滤波的检测前跟踪算法,重点提升临近多径信号干扰下的弱信号跟踪性能。首先,提出一种利用临近信号预测状态来描述多径信号干扰的似然函数;其次,在量测空间中引入速度量测集,推导速度-相关包络联合似然函数解析式,并以此构建多量测输入的信号检测前跟踪模型,最终获得稳健的信号参数跟踪结果。数值仿真与水池实验结果表明,在典型的水声时变双扩展信道下,该算法具有更优的多径信号检测及跟踪性。

    Abstract:

    This paper proposes a track before detect algorithm based on particle filter to address the problem of continuous-wave signal tracking under the background of underwater acoustic doubly-spread channels. It focuses on improving the performance of the weak signal tracking under nearby multipath signal interference. First of all, a likelihood function which describes multipath signal interference based on the nearby signal predicted state is proposed. Secondly, the measurement set of velocity is introduced in the measurement space, and the analytical formula of the velocity-correlation envelope joint likelihood function is derived. Then the multi-measurement input signal track before detect model is constructed based on the joint likelihood function. Finally the robust signal tracking results are obtained.The results of numerical simulation and pool experiment show that under typical underwater acoustic time-varying doubly-spread channels, the proposed algorithm has better performance of detecting and tracking multipath signal.

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  • 收稿日期:2024-04-29
  • 最后修改日期:2024-10-23
  • 录用日期:2024-09-30
  • 在线发布日期: 2024-10-08
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