Power Efficiency Improvement in OFDM System using SLM with Adaptive Nonlinear Estimator

OFDM is an increasingly popular multicarrier modulation technique for the next generation mobile radio communication system but Peak to Average Power Ratio (PAPR) is the major drawback of OFDM system. Most of the recent work is focused on reducing the PAPR of OFDM signal to enhance the performance. Here we propose a new technique for PAPR reduction, which improves the system power efficiency and maintains the better BER performance compared to the conventional SLM approach. The paper comprises of SLM, combined with Adaptive Nonlinear Estimator (ANE) which is a new major of non linear distortion caused by HPA. ANE estimates the mean square error between the OFDM signals before and after the nonlinear HPA and the signal having minimum mean square error among all OFDM signals is selected for final transmission.