DocumentCode :
3771960
Title :
Online Blind Extraction Algorithm For WSN Signal Based on UKF
Author :
Liu Zehao;Qian Hanting;Wei Chenjia
Author_Institution :
Coll. of Overseas Educ., Nanjing Univ. of Posts &
fYear :
2015
Firstpage :
542
Lastpage :
545
Abstract :
Recently, a class of online blind extraction algorithms in the framework of Kalman filtering have been developed for wireless sensor networks applications. But their performance is poor when additive noise is not neglectable. To address this issue, a new blind extraction method is proposed. This method novelly adopts two unscented Kalman filters alternately estimate the extraction vector and the source signal. Thereby, an optimal estimation of the source signal in sense of minimum mean square error is obtained. Simulation result indicates that the proposed algorithm can effectively extract target signal, and outperforms the existing unscented Kalman approach.
Keywords :
"Kalman filters","Wireless sensor networks","Estimation","Heuristic algorithms","Data mining","Signal processing algorithms","Covariance matrices"
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Engineering Applications (ISDEA), 2015 Sixth International Conference on
Type :
conf
DOI :
10.1109/ISDEA.2015.140
Filename :
7462677
Link To Document :
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