Blind Channel Equalization Based On Constant Power Criterion

In present Digital communications, the transmission effects such as multipath propagation and limited bandwidth produces linear distortion in the emitted signal, causing Inter symbol Interferences at the receiver sensor output. To enable the recovery of input symbols, channel equalization is used. Channel equalization is used to compensate the distortion effects happening in the wireless channel. Various approaches were proposed for the equalization of digital communication channel to over come the interference effect. The prior knowledge based estimation algorithms found to be considerably suitable for fixed channel parameters, but with channel having varying effects these algorithms fail to estimate the channel efficiently. For estimation of channel without priori knowledge, blind channel estimation algorithms were proposed. The blind equalization techniques are mostly property restoral techniques, where the equalizer filter is updated to produce an output signal that recovers an a priori known property of the input signal. This project work realizes blind channel equalization for digital communication based on constant power criterion where the signal power is considered to the channel statistics. The proposed channel estimation algorithm is to be evaluated for accuracy factor with their existing counterpart for the performance evaluation. The proposed project work is to be implemented on Matlab tool for it’s functional verification.