中文摘要：

为适应资源有限的无线传感器网络节点的目标跟踪需求,并在保证跟踪性能的同时降低算法复杂度,提出一种功率控制和多节点协调（PC＆MC）目标跟踪算法。借鉴Rao-Blackwellized技术,实现多节点协同作业以保证对动态目标的跟踪精度,采用基于连续/离散混合模型的准高斯粒子滤波器完成对目标的跟踪,在跟踪过程中使用功率控制机制指挥协同节点工作。通过仿真对算法的性能进行验证,结果表明PC＆MC算法适用于存储、计算等各项资源都有限的无线传感器节点,目标跟踪精度较高。

英文摘要：

In order to fit the requests of Wireless Sensor Network（WSN） nodes with finite resource,a Power Control and Multinode Collaborative（PCMC） algorithm for target tracking is proposed,which can guarantee the performance of tracking with less complexity.Multinode collaborative working is realized to ensure the precision of mobile target tracking utilizing the design ideal of Rao-Blackwellized technology.The Quasi-Gauss Particle Filter（Q-GPF） based on continuous/discrete mixed model is used to complete target tracking,and power control is used to direct the working of collaborative nodes.The performance of PCMC algorithm is verified by simulation,the simulating data can prove that PCMC algorithm suits for WSN nodes,whose resources such as storage and computation are limited,and the precision of target tracking is well improved.