Minimum variance filter with packet dropouts in wireless sensor networks

Author

Liu, Yonggui ; Xu, Bugong

Author_Institution

Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China

fYear

2009

fDate

8-10 Dec. 2009

Firstpage

1

Lastpage

5

Abstract

This paper is concerned with the filtering problem for both discrete-time stochastic linear (DTSL) system and discrete-time stochastic nonlinear (DTSN) system. In DTSL system, an optimal filter with packet dropouts is designed across unreliable wireless sensor networks (WSNs); In DTSN system, a suboptimal filter is derived by similar method over unreliable WSNs. An application example is given and corresponding simulation results show that the proposed filters are effective compared by standard Kalman filter (KF) or extended Kalman filter (EKF) in WSNs.

Keywords

discrete time systems; filtering theory; linear systems; nonlinear systems; stochastic processes; wireless sensor networks; discrete-time stochastic linear system; discrete-time stochastic nonlinear system; minimum variance filter; packet dropouts; wireless sensor network; Automation; Covariance matrix; Delay estimation; Filtering; Kalman filters; Noise measurement; Nonlinear filters; Random variables; Stochastic systems; Wireless sensor networks; Packet Dropouts; Wireless Sensor Networks; minimum variance filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Conference_Location

Macau

Print_ISBN

978-1-4244-4656-8

Electronic_ISBN

978-1-4244-4657-5

Type

conf

DOI

10.1109/ICICS.2009.5397579

Filename

5397579