Kalman Fixed-Point Smoothing forWireless Sensor Systems with Multiplicative Noises

摘要：

The paper focuses on Kalman fixed-point smoothing problem for wireless sensor networks (WSN), where both the state equation and the observation equation are disturbed by multiplicative noises. In addition, there exists packet loss in the observation of the system. The proposed Kalman fixed-point smoother is compared with the other two kinds of smoother, i.e., Kalman fixed-interval smoother and Kalman fixed-lag smoother. The solution to Kalman fixed-point smoother is given by solving Riccati equation and Lyapunov equation based on the projection theorem and innovation analysis. The comparison is given to show the difference between the Kalman fixed-point smoother is compared with the other two kinds of smoother.

关键词： Wireless network systems Multiplicative noise Fixed-point Kalman smoothing Packet loss

作者: Xiao Lu Haixia Wang

作者单位: Key Laboratory for Robot & Intelligent Technology of Shandong Province, Shandong University of Scien Key Laboratory for Robot & Intelligent Technology of Shandong Province, Shandong University of Scien

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 6578-6581

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）