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基于粒子滤波的无线传感器网络目标跟踪算法
Tracking algorithms based on particle filter for wireless sensor networks
查看参考文献8篇
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文摘
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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. |
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其他语种文摘
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Performance 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. |
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来源
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控制与决策
,2008,23(12):1389-1394 【核心库】
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关键词
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无线传感器网络
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粒子滤波
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目标跟踪
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地址
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中国科学院沈阳自动化研究所, 辽宁, 沈阳, 110016
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1001-0920 |
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学科
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自动化技术、计算机技术 |
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基金
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国家自然科学基金
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辽宁省青年人才基金
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文献收藏号
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CSCD:3439239
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参考文献 共
8
共1页
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