DocumentCode :
2503118
Title :
Optimal and Suboptimal Decentralized Estimation Underlying Fading Channels in WSNs
Author :
Wang, Xin ; Yang, Chenyang
Author_Institution :
Beihang Univ., Beijing
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
2863
Lastpage :
2867
Abstract :
Optimal and suboptimal estimators in wireless sensor networks with Rayleigh fading channels are studied in this paper. A maximum likelihood estimator is introduced to combat both the observation noise and communication errors led by channel fading. A feasible suboptimal estimator is presented to reduce the computational complexity. Compared with the traditional methods with different transmission coding schemes, it is shown by simulations that the proposed estimators can reduce the mean square error of the estimation especially for low communication SNR.
Keywords :
Rayleigh channels; communication complexity; maximum likelihood estimation; wireless sensor networks; Rayleigh fading channels; WSN; channel fading; communication errors; computational complexity; decentralized estimation; maximum likelihood estimator; observation noise; suboptimal estimator; transmission coding; wireless sensor networks; AWGN; Additive white noise; Computational complexity; Error correction codes; Fading; Gaussian noise; Maximum likelihood estimation; Quantization; Rayleigh channels; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.542
Filename :
4411452
Link To Document :
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