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WSN 中基于粒子滤波的目标跟踪研究
引用本文:匡兴红,霍海波,刘雨青,吴燕翔,张海刚.WSN 中基于粒子滤波的目标跟踪研究[J].传感技术学报,2009,22(7).
作者姓名:匡兴红  霍海波  刘雨青  吴燕翔  张海刚
作者单位:上海海洋大学电气自动化系,上海,201306
基金项目:上海海洋大学博士启动基金 
摘    要:针对无线传感器网络中仅有角度测量的目标跟踪问题,详细分析其定位过程,提出一种基于改进粒子滤波算法的新解决方案.方案采用高斯混合模型(GMM)代替单一模型近似概率密度分布,融入粒子滤波算法,提议分布采用SRUKF-PF算法更新粒子.算法中增加改进措施以提高滤波性能如:残差重采样算法用于重采样、K-means算法用于构建预估起始点、EM算法用于拟合GMM近似等.仿真结果验证了方案的有效性.

关 键 词:无线传感器网络  目标跟踪  高斯混合模型  K-means算法  粒子滤波

Study of the Target Tracking Based on PF algorithm in Wireless Sensor Networks
KUA N G X i n g hong,HUO Haibo,L IU Yuqi ng,WU Yanx i ang,Z HA N G Hai gang.Study of the Target Tracking Based on PF algorithm in Wireless Sensor Networks[J].Journal of Transduction Technology,2009,22(7).
Authors:KUA N G X i n g hong  HUO Haibo  L IU Yuqi ng  WU Yanx i ang  Z HA N G Hai gang
Affiliation:KUANG Xinghong,HUO Haibo,LIU Yuqing,WU Yanxiang,ZHANG Haigang (Department of Automation,Shanghai Ocean University,Shanghai 201306,China.)
Abstract:A new solution was proposed to solve the bearing-only target tracking problem in wireless sensor networks,the localization procedure was analyzed,The Gaussian mixture model (GMM) was used to approximate the density distribution and was integrated in the PF algorithm,the Square-Root UKF (SRUKF) proposal distribution was presented to update the particles.Many improved methods were introduced to increase the filter performance.In the solution,the residue resample algorithm was introduced to decrease the covari...
Keywords:Wireless sensor networks  Target tracking  GMM  K-means algorithm  PF  
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