Multi-path channel estimation using empirical likelihood algorithm with non-gaussian noise

Abstract

In this paper a novel algorithm, empirical likelihood, is employed to estimate the channel taps of multi-path channel under Non-Gaussian noise. To illustrate, multi-path channel is modeled as a FIR filter and non-Gaussian noise is taken as mixed Additive White Gaussian and impulse noise for simplicity. Thus the transmitted signal, being impacted by the multi-path fading effect and being disturbed by the non-Gaussian noise, would be sampled to form the received signal. And simulations show that the proposed algorithm is capable of obtaining good MSE and bit error rate BER performances. © 2014 Springer International Publishing Switzerland.