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Orthogonal Frequency Division Multiplexing (OFDM) has recently been appliedin wireless communication systems due to its high data rate transmissioncapability with high bandwidth efficiency and its robustness to multi-pathdelay. Fading is the one of the major aspect which is considered in thereceiver. To cancel the effect of fading, channel estimation and equalizationprocedure must be done at the receiver before data demodulation. This papermainly deals with pilot based channel estimation techniques for OFDMcommunication over frequency selective fading channels. This paper proposes aspecific approach to channel equalization for Orthogonal Frequency DivisionMultiplex (OFDM) systems. Inserting an equalizer realized as an adaptive systembefore the FFT processing, the influence of variable delay and multi path couldbe mitigated in order to remove or reduce considerably the guard interval andto gain some spectral efficiency. The adaptive algorithm is based on adaptivefiltering with averaging (AFA) for parameter update. Based on the developmentof a model of the OFDM system, through extensive computer simulations, weinvestigate the performance of the channel equalized system. The results showmuch higher convergence and adaptation rate compared to one of the mostfrequently used algorithms - Least Mean Squares (LMS).

Performance Evaluation of an Orthogonal Frequency Division Multiplexing  based Wireless Communication System with implementation of Least Mean Square  Equalization technique