一种非对称PCMA信号盲分离算法

针对卫星通信中非对称成对载波多址(PCMA)信号的盲分离问题，提出一种基于同步挤压小波变换(SWT)的盲分离算法。该算法在混合多个信号前提下，首先按强信号进行同步，接着采用同步挤压小波变换提取时频曲线，最后去除混合信号中的噪声与强信号主频外的弱信号干扰，降低了强信号解调误码率。该算法具有在不具备协作通信方发送的信息序列的先验条件下，实现了非对称PCMA信号盲分离的特点。仿真结果表明，经本文算法处理后强信号解调误码性能比对混合信号直接硬判决时有较大提升。

An Asymmetric PCMA Signal Blind Separation Algorithm

 Aiming at the problem of the blind source separation of the asymmetric paired carrier multiple access (PCMA), a blind separation algorithm based on the synchrosqueezing wavelet transform (SWT) is proposed. Under the premise of mixing multiple signals, the algorithm firstly synchronizes the mixed signal according to the strong signal, then extracts the time-frequency curve by using the SWT, and finally removes the noise and weak signal interference, which reduces the demodulation bit error rate of the signal. The algorithm achieves the blind separation of the asymmetric PCMA signal without the prior condition of the information sequence sent by cooperative communication. The simulation results show that the error performance of the strong signal demodulation after this algorithm is better than the direct hard decision of the mixed signal.