Application of distributed particle filtering algorithm in target tracking

GU Jing; SHI Jian-fang

doi:10.13873/j.1000-9787(2014)08-0158-03

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Application of distributed particle filtering algorithm in target tracking

更新时间：2025-09-11

- Application of distributed particle filtering algorithm in target tracking
- Vol. 33, Issue 8, Pages: 158-160(2014)
- 作者机构：
  
  太原理工大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2014)08-0158-03
  CLC： TN929.5;TP212.9
- Published：2014
- 稿件说明：
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[1]谷静,史健芳.分布式粒子滤波算法在目标跟踪中的应用[J].传感器与微系统,2014,33(08):158-160.

GU Jing, SHI Jian-fang. Application of distributed particle filtering algorithm in target tracking[J]. 2014, 33(8): 158-160.
[1]谷静,史健芳.分布式粒子滤波算法在目标跟踪中的应用[J].传感器与微系统,2014,33(08):158-160. DOI： 10.13873/j.1000-9787(2014)08-0158-03.

GU Jing, SHI Jian-fang. Application of distributed particle filtering algorithm in target tracking[J]. 2014, 33(8): 158-160. DOI： 10.13873/j.1000-9787(2014)08-0158-03.

摘要

针对无线传感器网络中目标跟踪的精度与网络能耗这一对矛盾

提出了一种改进的分布式粒子滤波算法。通过调整滤波器的似然分布保持粒子的多样性

同时将无线传感器网络中的跟踪机制进行改进

采用根据跟踪精度自适应调整动态簇内工作的传感器节点的数目。仿真结果表明:提出的改进算法在提高跟踪性能的同时减少了能量损耗

延长了网络的使用寿命。

Abstract

Aiming at contradiction of tracking precision and energy consumption of target tracking in wireless sensor networks（WSNs）

an improved distributed particle filtering（PF） algorithm is proposed.It can keep the variety of the particles by adjusting likelihood distribution of filters and meanwhile the tracking mechanism is also improved

and it can adaptively adjust number of working sensor nodes in dynamic cluster according to the tracking precision.The simulation result shows that the proposed improved algorithm not only improve tracking quality but also reduces energy consumption and prolongs lifetime of network.

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references

无线传感器网络可扩展一致性目标跟踪算法研究 [J]. 龙慧,樊晓平,刘少强. 小型微型计算机系统 . 2012(11)

基于分布式动态簇结构的WSN自适应目标跟踪算法 [J]. 刘立阳,张金成,吴中林. 传感技术学报 . 2012(01)

一种基于概率密度传播的目标跟踪算法 [J]. 高庆华,金明录,王洁,王洪玉. 电子与信息学报 . 2010(10)

无线传感器网络[M]. 清华大学出版社 , 孙利民等编著, 2005

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