正交频分复用（Orthogonal Frequency Division Multiplexing，OFDM）信号具有较高的峰均功率比（Peak to Average Power Ratio，PAPR），不仅影响功率放大器（High Power Amplifier，HPA）的工作效率，而且HPA使得OFDM信号产生严重的非线性失真，导致系统的误比特率（Bite Error Rate，BER）增大。本文基于限幅和压缩感知（Compressive Sensing，CS）提出了改进的补偿算法，发送端采用限幅降低信号的PAPR，接收端首先采用改进的逆模型方式减小HPA引入的非线性失真，再采用CS抵消由限幅引入的信号失真。仿真表明，所提方法不仅明显降低了OFDM信号的PA-PR，而且有效提高了系统的BER性能。%The high peak to average power rate (PAPR)of orthogonal frequency division multiplexing (OFDM)sig-nal reduced the efficiency of the high power amplifier (HPA),and led the OFDM signal suffered from nonlinear distortion caused by HPA and the bite error rate (BER)of the system became worse.This paper proposes a nonlinear distortion com-pensation method based on clipping and compressive sensing.The transmitter uses a clipping method to reduce the PAPR of OFDM signal;the receiver utilizes a modified method based on the inverse model of HPA to reduce the nonlinear distortion caused by the HPA,and applies compressive sensing (CS)on counteracting the distortion caused by clipping.Simulations show that the proposed method can not only reduce the PAPR of the OFDM signal significantly,but also improve the BER performance of the system promisingly.
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