针对长期演进下行链路基带单元和射频单元之间的数据压缩,给出一种在不同信噪比下的正交频分复用信号的稀疏度估计方法.该方法基于正交频分复用信号时频域上的能量等量性,将压缩感知重构损伤率等效为能量的损失率进行估计.仿真结果表明,所给方法可使重构信号与原始信号的相对误码率保持在可接受范围内,信号损伤率随着信噪比增加而减小,既节省信号的存储空间,又能提高通信系统性能.%Aiming at the data compression between long term evolution downlink baseband unit and radio frequency unit,a method of sparse estimation for orthogonal frequency division multiplexing (OFDM) signal under different signal noise ratio (SNR) is proposed.This method is based on the energy equivalence in the time-frequency domain of the OFDM signal,and the damage rate of the compressed sensing reconstruction is equivalent to the loss rate of energy.Simulation results show that,this method can keep the relative error rate of reconstructed signal and the original signal within acceptable range,and the signal damage rate decreases with the increase of signal to noise ratio,which can save the storage space and improve the performance of the communications system.
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