Linear Vs Non Linear Equalizer in Different Channel Condition

In this paper we have present performance analysis of different equalization techniques such as minimum mean– squared error (MMSE), Least mean square (LMS), Recursive Least Square (RLS) linear equalizers and MMSE-Decision Feedback equalizer (DFE), LMS-DFE, RLS-DFE non-linear equalizers in different channel conditions, in order to achieve optimal equalizer. In our simulation model we have consider quaternary phase–shift keying (QPSK) modulation scheme under Additive White Gaussian Noise (AWGN), lognormal and Rician channel condition. The analysis of Linear and Nonlinear equalization in different channels are performed and as an outcome we can conclude that standard Decision Feedback Equalization (DFE-Non linear Equalizer) methods are clearly outperformed the Linear equalizer by means of the Bit Error Rate (BER) performance. We use the MATLAB to show that the DFE provide better performance in low SNR region with respect to that of linear equalizer over AWGN, Rician and lognormal channels.