PAPR REDUCTION USING PTS, SLM AND CUCKOO SEARCH OPTIMIZED COMPANDING

Abstract

The OFDM is a multicarrier modulation technique has proved itself in the field of high-speed communication enabling current technologies to reach a high transmission rate. It is used in most communication standards. One of the major drawbacks of OFDM modulation is the strong PAPR of the resulting signals. This characteristic makes OFDM signals very sensitive to the nonlinearities of analog components, especially those of power amplifiers. Because for a high efficiency, the power amplifier must operate in a so-called non-linear (or saturation) zone, but it is in this zone that nonlinearities occur. The amplifier, sources of distortion of the signals to be transmitted. These effects are all the more annoying as the signals to be amplified are at high PAPR This paper provides comparative analysis of severalmethods for PAPR reduction namely; Selective Mapping (SLM), Partial Transmit Sequences (PTS) and Companding Transform optimized by Cuckoo Search (CS) algorithm. Simulation results are presented by using CCDF v/s PAPR graph.