Title :
Decentralized Estimation Methods for Wireless Sensor Networks with Known Channel State Information
Author :
Wang, Xin ; Yang, Chenyang
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing
Abstract :
In this paper, three new decentralized estimators in which observation noise and channel fading are taken into account are introduced to improve the estimation accuracy of the wireless sensor networks. With known channel state information and the local statistics of observation noise, a minimum error probability detector and two MMSE estimators are designed to estimate the quantized bits of the parameter to be observed, then the final estimation of the parameter is reconstructed by the estimated value according to the given quantization rule. It is shown by simulations that the decentralized estimation methods can provide superior performance in low average received SNR.
Keywords :
channel estimation; error statistics; estimation theory; fading channels; least mean squares methods; wireless sensor networks; MMSE estimation; channel fading; channel state estimation; decentralized estimation method; minimum error probability detection; observation noise; quantization rule; wireless sensor network; Additive white noise; Channel state information; Detectors; Fading; Gaussian noise; Parameter estimation; Quantization; Sensor fusion; State estimation; Wireless sensor networks;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
DOI :
10.1109/VTCF.2006.517
