OFDM中一种有效的基于分段非线性压扩的PAPR抑制算法

Efficient PAPR reduction algorithm in OFDM based on nonlinear piecewise companding

针对正交频分复用(OFDM)系统中峰均比(PAPR)较大的问题,提出了一种基于通用瑞利和三角分布相结合的分段非线性压扩算法。对于幅度较小的信号,该算法不对其进行处理。对于幅度较大的信号,该算法将其幅度对应的概率密度函数从瑞利分布改为三角函数分布。该算法可以在有效降低OFDM信号的PAPR的前提下,确保OFDM信号样点的误比特率性能和功率谱密度性能。仿真结果表明,在相同的峰均比限制条件下,与参考文献的算法相比,所提算法误比特率更低,带外泄露功率更低。

Focusing on the high peak-to-average power ratio(PAPR)problem in orthogonal frequency division multiplexing(OFDM)systems,a generalized hybrid of rayleigh and sine distribution based nonlinear companding algorithm for PAPR reduction in OFDM systems was provided.For the proposed algorithm,signal samples with small amplitudes remain unchanged.For the signal samples with large amplitudes,their probability density function were changed from rayleigh distribution to sine-based distribution.The proposed algorithm can effectively reduce the PAPR,and at the same time,maintain the bit error rate performance and power spectral density performance.Simulation results indicate that with the same PAPR performance,compared with referred companding schemes,the proposed algorithm has lower bit error rate and out of band radiation.