Peak Sample Detection based PAPR Reduction Algorithm in Optical-OFDM for VLC Systems

Abstract

Recently, orthogonal frequency division multiplexing (OFDM) based visible light communication (VLC) technology gaining more attention due to its advantages, namely, high data rates, unlimited bandwidth and radio frequency interference-free. However, a high peak to average power ratio (PAPR) resulting in clipping distortion at the front end light-emitting diode (LED), and it is the major issue in the DC-biased optical-OFDM (DCOOFDM). In this work, we proposed a PAPR reduction technique called peak sample detection and appending (PSDA) algorithm for DCO-OFDM systems for VLC. In the PSDA algorithm, a maximum peak sample can be found and utilized to increase the average power, which results in PAPR reduction. The simulation results show that the proposed PSDA outperforms the selective mapping (SLM) and top samples detection and appending (TSDA) schemes in terms of PAPR performance. Further, the computational complexity of the proposed PSDA and TSDA are the same, whereas substantially decreased when compared to SLM. Moreover, the side-information is not required in PSDA and TSDA, unlike SLM.