Hanowa Matrix based SLM Technique for PAPR Reduction in OFDM Systems

Abstract

The capability to deal with challenging channel circumstances, attenuation of higher frequencies, narrowband interference (NBI), and frequency selective fading without the need for complicated equalization filters are just a few benefits of OFDM. OFDM systems has various advantages whereas one of their main challenges is the high Peak to Average Power Ratio (PAPR), vulnerability to phase noise and frequency offset. In order to overcome various disadvantages, various phase sequences were proposed in the existing literature work. In this article, implementation of different matrices such as Greatest Common Divisor (GCD), Random, Riemann, Lehmer, and Hanowa are applied to Selective Mapping as phase sequences for the minimization of PAPR value. The number of carriers considered are 256 and 512 and modulation schemes considered are 16-QAM and 64-QAM respectively. Simulation Results show that SLM- Hanowa matrix shows improved performance of 7.86 dB – 9.82 dB PAPR reduction performance over the C-OFDM technique and 5.08 dB – 7.05 dB when compared with the C-SLM technique.