Research on Nonlinear Distortion Recovery Based on Compressed Sensing in OFDM System
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摘要: 正交频分复用系统(OFDM)的高峰均比(PAPR)问题降低了系统传输效率，增加了解调难度，使高功率放大器(HPA)满负载工作。该文针对削波与HPA引入的非线性失真问题，提出在接收端采取基于泰勒级数的预处理方式对非线性干扰进行处理，最小化信号畸变影响。在发送端通过削波降低信号的PAPR，并利用削波噪声在时域上的稀疏性特性，将传输过程作为整体考虑，最后利用正交匹配追踪算法(OMP)恢复总的非线性失真信号。仿真结果表明，该文所提方法能够有效抑制系统的干扰信号，减少了有用信号受到的非线性影响，验证了该方案的正确性。Abstract: The Peak to Average Power Ratio (PAPR) problem of OFDM system reduces the transmission efficiency of the system, increases the difficulty of demodulation, and makes the High Power Amplifier (HPA) to saturation. In order to solving the problem of nonlinear distortion caused by clipping and HPA, the proposed scheme uses preprocessing method based on Taylor series to deal with nonlinear interference so that to minimize the influence of signal distortion. At the transmitter, the PAPR of the signal is reduced by clipping, and the transmission process is considered as a whole based on the sparsity of clipping noise in the time domain. Finally, the total nonlinear distortion signal is recovered by using the Orthogonal Matching Pursuit (OMP) algorithm. The simulation results show that the proposed method can effectively suppress the interference signals of the system, reduce the nonlinear influence of useful signals, and verify the correctness of the scheme.
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