Novel Signal Scrambling Technique for Papr Reduction in OFDM Systems

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) forms the basis of the upcoming next generation technologies so as to achieve higher data rates within a given bandwidth effectively. It is one of the most popular multi-carrier transmission schemes among the researchers around the world. One of the major issues associated with OFDM is Peak to Average Power Ratio (PAPR) which needs to be minimized to get an efficient performance. The random variation in signal amplitude of the OFDM signal leads to additional interference in the system resulting in inter modulation among the sub-carriers and hence affecting the performance of High Power Amplifier (HPA) in non-linear region. In this paper, we propose a novel signal scrambling technique for the reduction of PAPR in OFDM systems with some increased complexity as it involves the employment of Inverse Discrete Fourier Transform (IDFT) blocks which works for any modulation type and any number of subcarriers. The simulation results show performance improvement with respect to the existing signal scrambling techniques