Distributed Moving Horizon State Estimation for Wireless Sensor Networks Using Multiple Quantized Data
Luo Ji-an①; Chai Li②; Wang Zhi①
①State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China; ②College of Information Science & Engineering, Wuhan University of Science & Technology, Wuhan 430081, China
Abstract：In this paper, a distributed moving horizon state estimation approach is presented based on multi-bit quantized data. Each sensor node preserves a list of thresholds which are used to quantize observations into multiple bits. After receiving these bits, the Fusion Center (FC) makes the final estimation for system states. Simulation results show that the more number of thresholds, better estimation results will be made, Which is Consistent with Common Sense. Compared with single bit distributed moving horizon state estimation, this method avoids FC sending the estimate information back to sensor nodes and provides higher precision of state estimation.
2009, Vol. 31 
