基于序贯蒙特卡洛与概率假设密度滤波的主动分布式声纳多目标跟踪

邵鹏飞;王蕾;王方勇

兵工学报 ›› 2020, Vol. 41 ›› Issue (5) : 941-949.

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  • 主管：中国科学技术协会

    主编：许毅达

    ISSN 1000-1093

    　

  • 主办：中国兵工学会

    出版：《兵工学报》 编辑部

    CN 11-2176/TJ

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兵工学报 ›› 2020, Vol. 41 ›› Issue (5) : 941-949. DOI: 10.3969/j.issn.1000-1093.2020.05.013
论文

基于序贯蒙特卡洛与概率假设密度滤波的主动分布式声纳多目标跟踪

  • 邵鹏飞， 王蕾， 王方勇
作者信息 +

Active Distributed Sonar Multi-target Tracking Based on SMC-PHD Filtering

  • SHAO Pengfei, WANG Lei, WANG Fangyong
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文章历史 +

摘要

针对杂波数量多、目标数量和状态不确实性及观测不确实性等问题，提出了一种基于序贯蒙特卡洛与概率假设密度(SMC-PHD)滤波的分布式声纳多目标自动跟踪方法。通过随机有限集模型对多目标状态和观察进行表征，结合序贯蒙特卡洛方法中的重要性采样和重采样策略递归地实现多目标后验近似下概率假设密度的传递和滤波。利用分布式声纳观测模拟数据，对不同节点数目下基于SMC-PHD滤波的多目标跟踪进行了仿真实验。仿真实验结果表明：该方法适用于主动分布式声纳系统，能在多杂波环境下对数目未知且时变的多目标进行实时自动跟踪；在4个平台节点的主动分布式声纳系统中，实现了平均相对误差小于5%的水下多目标高精度跟踪，且目标数目估计值与真实值一致。

Abstract

An active distributed sonar multi-target automatic tracking method based on sequential Monte Carlo and probability hypothesis density (SMC-PHD) filtering is proposed to solve the problems of large number of clutter, targets uncertainty and observation uncertainty. In the proosed method, the random finite set (RFS) model is used to characterize the target state and observation, and the importance sampling and resampling strategy of sequential Monte Carlo (SMC) method is used to realize the transferring and filtering of probability hypothesis density of multi-target posterior. The multi-target tracking based on SMC-PHD filtering with different number of observation nodes is simulated. The results show that the proposed method can be used to effectively realize multi-target automatic tracking in real time in clutter environment with unknown and time-varying multi-targets. In active distributed sonar system with 4 nodes,the proposed method achieves the high-accuracy tracking with distance estimation relative error less than 0.05 and the completely accurate estimation of targets number. Key

关键词

主动分布式声纳 / 随机有限集 / 序贯蒙特卡洛 / 概率假设密度滤波 / 多目标跟踪

Key words

activedistributedsonar / randomfiniteset / sequentialMonteCarlo / probabilityhypothesisdensityfiltering / multi-targettracking

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邵鹏飞， 王蕾， 王方勇. 基于序贯蒙特卡洛与概率假设密度滤波的主动分布式声纳多目标跟踪. 兵工学报. 2020, 41(5): 941-949 https://doi.org/10.3969/j.issn.1000-1093.2020.05.013
SHAO Pengfei, WANG Lei, WANG Fangyong. Active Distributed Sonar Multi-target Tracking Based on SMC-PHD Filtering. Acta Armamentarii. 2020, 41(5): 941-949 https://doi.org/10.3969/j.issn.1000-1093.2020.05.013

基金

国家自然科学基金项目（61701450）

参考文献



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第41卷第5期2020年5月
兵工学报ACTA ARMAMENTARII
Vol.41No.5May2020

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