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基于粒子滤波的无线传感器网络目标跟踪算法
Alternative TitleTracking algorithms based on particle filter for wireless sensor networks
黄艳; 梁炜; 于海斌
Department工业控制系统研究室
Source Publication控制与决策
ISSN1001-0920
2008
Volume23Issue:12Pages:1389-1394
Indexed ByEI ; CSCD
EI Accession number20090111830334
CSCD IDCSCD:3439239
Contribution Rank1
Funding Organization国家自然科学基金项目(60434030,60704046,60725312);;辽宁省青年人才基金项目(3040004)
Keyword无线传感器网络 粒子滤波 目标跟踪
Abstract传感器节点的组织和路由对无线传感器网络(WSN)目标跟踪算法的性能有重大影响.为此,针对具有簇-树型网络拓扑结构的WSN,首先给出集中式粒子滤波跟踪算法(CPFTA)实现的具体步骤;然后提出一种分布式粒子滤波跟踪算法(DPFTA),构建性能评价体系,通过仿真实验给出两种跟踪算法的定量比较,结果表明DPFTA的跟踪精度稍低于CPFTA,但能大幅度减少通信开销,而且具有更小的跟踪反应时间;最后仿真分析了传感器覆盖密度和检测阈值对跟踪算法性能的影响.
Other AbstractPerformance of the tracking algorithm for wireless sensor networks(WSN) is significantly affected by the organization of sensor nodes and routing.For a WSN with cluster-tree topology,this paper presents the implementation details of centralized particle filter based tracking algorithm(CPFTA),and then proposes a distributed particle filter based tracking algorithm(DPFTA).A performance evaluation system is established.Two tracking algorithms are quantitatively compared by simulation.The results indicate that DPFTA can reduce the communication cost and tracking response time significantly at only a slight expense of tracking performance.Finally,the relationship between node density,detection threshold and the performance of tracking algorithms is studied by simulation.
Language中文
Citation statistics
Cited Times:10[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/4800
Collection工业信息学研究室_工业控制系统研究室
Corresponding Author黄艳
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院工业信息学重点实验室
3.中国科学院研究生院
Recommended Citation
GB/T 7714
黄艳,梁炜,于海斌. 基于粒子滤波的无线传感器网络目标跟踪算法[J]. 控制与决策,2008,23(12):1389-1394.
APA 黄艳,梁炜,&于海斌.(2008).基于粒子滤波的无线传感器网络目标跟踪算法.控制与决策,23(12),1389-1394.
MLA 黄艳,et al."基于粒子滤波的无线传感器网络目标跟踪算法".控制与决策 23.12(2008):1389-1394.
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