PAPR Reduction Iterative Algorithm via Adding Weights to Amplitudes and Phases of OFDM Subcarriers
In this paper, we propose a novel and effective Peakto- 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 2.5dB decrease when dividing the subcarriers into 4 subgroups.
PAPR reduction OFDM iterative algorithm weights subcarrier
Yao Rugui Wang Yongsheng Kong Weidong Xu Juan
School of Electronic and Information System Northwestern Polytechnical University Xian, China School of Computer Science and Technology Northwestern Polytechnical University Xian, China
国际会议
上海
英文
2007-09-21（万方平台首次上网日期，不代表论文的发表时间）