Adaptive-Normalized-Error Based Blind Equalization Algorithm for Static Wireless Sensor Network

Wireless sensor network is a self-organized network composed by a large number of autonomous and low-cost sensor nodes, and monitors regions through wireless communication. Blind equalization is used to estimate the transmitted signal over wireless sensor networks. In this paper, we consider a single-input multiple-output (SIMO) channels based static wireless sensor network and set out to estimate the transmitted signal blindly. We derive a new approach in that the best sensor output signal is identified as the easiest path by normalized error calculation. Then we estimate the transmitted signal from the corresponding sensor output. Direct and indirect calculations are considered for the proposed method, which utilize the prediction error in the normalized error calculation as the prefilter. Computer simulations validate the effectiveness of the proposed method through mean square error (MSE) and symbol error rate (SER) performance relative to the conventional method.