Target Tracking Algorithm Using Gaussian Cost-Reference Particle Filter in WSN Based on Multi-Modality Information
Target tracking algorithm using Gaussian cost-reference particle filter in WSN based on multi-modality information is proposed in this paper. Compared with WSN relying on sensors of single modality, two different nodes organize the network; Contrary to traditional particle filter algorithm for target tracking, this algorithm does not assume explicit mathematical models of the noise probabilistic distributions, but approximate posterior probability distribution of the state using Gaussian distribution. The mean and variance of Gaussian distribution as information interacted between nodes only need to be transmitted. Simulation results show that the algorithm can satisfy the need of a tracking accuracy and efficiently prolong the network lifetime.
Wireless Sensor Networks Multi-Modality Target Tracking Gaussian Cost-Reference Particle Filter
Jian Zhang Chengdong Wu Zixi Jia Tianbao Wang
School of Information Science and Engineering, Northeastern University, Shenyang, 110004
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
1388-1392
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）