降低OFDM系统峰均功率的次优PTS-Clipping联合算法

PAPR Reduction Algorithm Enabled by Threshold-Based Suboptimal PTS Combined with Peak Clipping for OFDM Systems

针对正交频分复用(OFDM)系统的高峰均功率比(PAPR)问题,提出一种联合次优部分传输序列(PTS)与限幅的改进算法。该算法使用次优PTS降低OFDM信号的相关性,并联合限幅处理进一步降低OFDM信号的峰均功率。仿真结果表明,相比传统PTS算法,次优PTS-Clipping联合算法的复杂度降低了近一半,PAPR性能降低了1 dB,表明其能够最大限度地利用现有算法的优势,在降低PAPR的同时,又不会引入很大的计算量和边带噪声。

In view of flaws related to the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems, a proposal has thus been made of an improved algorithm for joint sub-optimal partial transmission sequence (PTS) and amplitude limiting. By using sub-optimal PTS to reduce the correlation of OFDM signals, a reduction of the peak-to-average power of OFDM signals can be achieved by combining amplitude-limiting processing. The simulation results show that, compared with the traditional PTS algorithm, the complexity of the suboptimal PTS-Clipping algorithm has been reduced by half to the effect, with PAPR performance reduced by 1 dB as well, indicating that it helps to maximize the advantages of existing algorithms and reduce PAPR, without getting too much calculation and sideband noise involved.