Decentralized Estimation Methods for Wireless Sensor Networks with Known Channel State Information

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.