Adaptive Channel Equalization using Least Mean Square (LMS)‎ algorithm with different value for step size

Abstract EN

In this paper we present the whole structure for least mean square equalizer algorithm with different value for step size.

After the transmitted signal arrive at the receiver, it sever from distortion because the Intersymbol Interference (ISI) that may occur in the transmission channel of the symbols of sent data and also because of the fading effects with the AWGN.

Therefore, many advanced methods for detecting symbols in the receiver should be applied to retrieve the original transmitted data symbols.

The coefficients of a Finite Impulse Response (FIR) filter can be adjusted by the LMS algorithm to minimize the noise and Intersymbol Interference.

Simulation results show that the value of the step size effects on stability of adaptive filter, the speed of convergence and the error of steady state.