Quantized steady-state kalman filter in a wireless sensor network

Authors:
Changcheng Wang;Guoqing Qi;Yinya Li;Andong Sheng
Affiliations:
School of Automation, Nanjing University of Science and Technology, Nanjing, China;School of Automation, Nanjing University of Science and Technology, Nanjing, China;School of Automation, Nanjing University of Science and Technology, Nanjing, China;School of Automation, Nanjing University of Science and Technology, Nanjing, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
Year:
2012

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Abstract

This paper addresses the problem of state estimation in the wireless sensor network (WSN). Firstly, the quantized Kalman filter based on the quantized observations is presented. Focuses are on tradeoff between the communication energy and the estimation accuracy. A closed-form solution to the optimization problem for minimizing the energy consumption is given, where the total energy consumption is minimized subject to a constraint on the stead state error covariance. An illustrative numerical example is provided to demonstrate the usefulness and flexibility of the proposed approach.