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基于修正时延粒子滤波的水声传感器网络目标跟踪 被引量：4

Study of target tracking in underwater acoustic sensor networks based on time delay modified particle filter
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摘要 在水声传感器网络中,利用多个传感器节点探测到的方位信息进行目标跟踪是水下目标跟踪领域的一种新思路。由于水中声速的限制,信号到达各个节点的时间不是同步的,提出了一种修正时间延迟的方法,并将其与粒子滤波(PF)、扩展卡尔曼粒子滤波(EKPF)结合来解决该非线性跟踪问题。仿真分析表明修正时延后,算法的跟踪性能有较大提高;并且在相同条件下,EKPF的跟踪性能比PF好。 In underwater acoustic sensor networks,using the angle information estimated by multiple sensors to track target provides a new approach to underwater target tracking.As the underwater sound velocity is limited,the time it takes the signal to reach each node is significantly different.This paper presents a method to modify the time delay,and combines it with the particle filter（PF） and the extend Kalman particle filter（EKPF） to solve this nonlinear tracking problem.Simulation analysis shows that the tracking performance of the modified time delay PF and EKPF is better than the general PF and EKPF,and under the same conditions,the tracking performance of EKPF is better than PF.
作者 曹利 李宇 黄勇
机构地区 中国科学院声学研究所 中国科学院研究生院
出处 《声学技术》 CSCD 2012年第1期67-71,共5页 Technical Acoustics
基金 863计划项目(2006AA09Z117 2009AA093601) 国家自然科学基金项目(10904160 60672118)
关键词 纯方位 多传感器节点 修正时延 粒子滤波 bearing-only multi-sensor nodes modified time delay Particle Filter（PF）
分类号 TB567 [交通运输工程—水声工程]
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参考文献10

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共引文献8

同被引文献29

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声学技术
2012年 第1期

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