Comparative study on the channel estimation for OFDM system using LMS, NLMS and RLS algorithms

Orthogonal Frequency Division Multiplexing (OFDM) has recently been applied in wireless communication systems due to its high data rate transmission capability with high bandwidth efficiency and its robustness to multi-path delay. Fading is the one of the major aspect which is considered in the receiver. To cancel the effect of fading, channel estimation and equalization procedure must be done at the receiver before data demodulation. In this paper dealt the comparisons of various algorithms, complexity and advantages, on the capacity enhancement for OFDM systems channel estimation techniques. Mainly three prediction algorithms are used in the equalizer to estimate the channel responses namely, Least Mean Square (LMS), Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) algorithms. These three algorithms are considered in this work and performances are statically compared by using MATLAB Software.