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中文摘要：
基于动态分簇结构的特点,结合权值选优粒子滤波（PF）算法的优越性,研究了无线传感器网络分布式目标跟踪算法。该方法采用这种改进的粒子滤波算法,利用簇和簇之间的传递关系,获得目标的动态状态。根据当前时刻目标的本地估计位置、预测速度和加速度,获得目标的预测位置。结果表明：此方法相比集中式目标跟踪,能在节省能量消耗的基础上,比普通粒子滤波的跟踪精度提高了大约60%。
英文摘要：
Based on characteristics of dynamic clustering structure and combined with superiority of particle filter of selecting excellent weight,distributed target tracking algorithm in WSNs is studied.This method uses the improved particle filter（PF） and the transfer relationship between cluster and cluster to obtain the dynamic state of the target.According to current local estimation position,the predicting speed and acceleration are combined to achieve the predicting position.The result shows that this method can not only save more energy than centralized target tracking but also improve the tracking precision about 60 %.
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