PAPR Reduction in OFDM Via Separation of Complex Baseband Signal

system is the stronger base for the future wir eless c o m m u n i c a t i o n . The one w i t h the lowest peak to average power ratio (PAPR) among these OFDM signal sequences are selected for transmission. One major Disadvantage of OFDM is the high peak-to-average Power ratio (PAPR). One investigated technique Selected Mapping (SLM) is PAPR reduction techniques for Orthogonal Frequency Division Multiplexing (OFDM). By analyzing separation of complex baseband signal in this paper we proposed a Modernize SLM algorithm (MSLM) scheme to reduce the PAPR by using the complex signal to separate into real & imaginary parts and use as a individually phase sequence multiply real part as well as imaginary part of complex signal. Finally select the minimum PAPR signal which is achieved by real & imaginary part and then combine both of the approach and find one of the lowest peak to average power ratio among these OFDM signal sequences for transmission. After applying different simulation on the MATLAB software it produces less complexity and improved performance.