TY - GEN
T1 - Decentralized estimation methods for wireless sensor networks with known channel state information
AU - Wang, Xin
AU - Yang, Chenyang
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/34548852845
U2 - 10.1109/VTCF.2006.517
DO - 10.1109/VTCF.2006.517
M3 - 会议稿件
AN - SCOPUS:34548852845
SN - 1424400635
SN - 9781424400638
T3 - IEEE Vehicular Technology Conference
SP - 2509
EP - 2513
BT - 2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
T2 - 2006 IEEE 64th Vehicular Technology Conference, VTC-2006 Fall
Y2 - 25 September 2006 through 28 September 2006
ER -