中文摘要：

为解决基于分数阶傅里叶变换的正交频分复用雷达通信一体化系统的高峰均功率比（PAPR）问题,提出一种低复杂度的PAPR抑制算法。该算法在发射端通过限幅法降低系统PAPR,在接收端结合压缩感知原理,运用改进的正交匹配追踪算法重构被限幅的信号。仿真结果表明,该PAPR抑制算法能够避免高信噪比条件下限幅法所引起的信号失真和带外辐射,在保证误码率性能的同时有效降低PAPR,并且相比传统基追踪算法具有更低的计算复杂度。

英文摘要：

This paper proposes a low-complexity Peak to Average Power Ratio（PAPR） reduction algorithm to deal with the high PAPR of radar-communication integrated system of Orthogonal Frequency Division Multiplexing（OFDM） based on Fractional Fourier Transform（FRFT）.This algorithm can reduce system PAPR with clipping method at transmitter.It combines Compressive Sensing（CS） at receiver and reconstructs the clipped signal with improved Orthogonal Matching Pursuit（OMP） algorithm.Simulation result indicates that the proposed PAPR reduction algorithm can avoid signal distortion and out-of-band radiation of clipping method at a high Signal Noise Ratio（SNR） situation,it can guarantee the Bit Error Rate （BER） performance and reduce PAPR effectively.Moreover,it can also reach a lower calculation complexity than traditional Basis Pursuit（BP）algorithm.