Peak Power Reduction of OFDM Signals Using Chaotic Baker Maps

This paper presents a new approach for peak to average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. This approach is based on the chaotic Baker map. It is known that OFDM transmitted signals are in complex format, having in-phase and in-quadrature components. If a chaotic randomization process is performed on each component, separately, prior to transmission, the likelihood that both the real and imaginary components of the transmitted signal at a certain time are of large amplitude gets lower. As a result, a reduction of the PAPR can be achieved. Simulation results show that the proposed PAPR reduction method achieves a performance improvement in the OFDM system.