PAPR Reduction Iterative Algorithm via Adding Weights to Amplitudes and Phases of OFDM Subcarriers

In this paper, we propose a novel and effective peak- to-average power ratio (PAPR) reduction algorithm for orthogonal frequency division multiplexing (OFDM) signals that uses a group of appropriate weights in both amplitude and phases fixed on subcarriers in the frequency domain. Also we deduce a iterative formula to compute the weights. Compared with partial transmit sequence (PTS) and selected mapping (SLM) algorithms, the proposed algorithm shows its better performance on PAPR reduction. Bit error rate (BER) analysis indicates that the amplitude of the weights has a great impact on the BER performance of the system. Appropriate restriction on the amplitude can get good performance in both PAPR and BER. Simulation results show that the proposed algorithm is better than PTS and SLM algorithm in PAPR reduction performance, while satisfying BER performance, for example, PAPR reduction can be up to 2.5 dB decrease when dividing the subcarriers into 4 subgroups.