Decentralized Parameters Estimation of Chemical Pollution Source Using Wireless Sensor Networks
Chemical pollution source parameters estimation using wireless sensor networks in an arbitrary environment has become a topic of intensive research problem. In this paper,we propose a decentralized estimation method based on the distributed Kalman lter algorithm in sensor networks to localize a chemical source and determine its emission rate. The implementation of estimation method based on a dispersion physical model and noisy measurements of concentration. As for the severe nonlinear model,it is not handled well by Kalman lter,we make use of the unscented Kalman filter (UKF) and the distributed particle lter(DPF) independently for the algorithm. Simulation results indicate that performance of the decentralized estimation methods with DPF and UKF are better than the centralized PF method (CPF) and the DPF performs much better in estimation accuracy than UKF.
ZHANG Yong WANG Li
College of Information,Tianjin University of Commerce,Tianjin,P.R.China School of Electrical Enginee College of Information,Hebei University of Technology,Tianjin,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）