基于非线性滤波的非对称PCMA信号盲分离

Blind Separation of Asymmetric PCMA Signal Based on Nonlinear Filtering

针对非对称PCMA(Paired Carrier Multiple Access)信号盲分离问题,在一种低复杂度的盲分离结构基础上,提出了一种基于非线性滤波的盲分离算法,并深入研究了弱信号影响下强信号解调误码率理论界。该算法在混合信号按强信号同步的基础上,利用弱信号波形的可预测性,引入非线性滤波的方法对弱信号的波形进行预测,从混合信号中减去预测的弱信号波形来降低强信号解调误码率。仿真结果表明,经非线性滤波后强信号解调误码性能比对混合信号直接硬判决时强信号解调误码性能有较大提升。

On the basis of a blind separation structure with low complexity, an efficient blind separation algorithm based on nonlinear filtering is proposed for asymmetric PCMA （Paired Carrier Multiple Access）, and the strong signal demodulation bit error rate theorists under the influence of the weak signals is studied in-depth. Firstly, the mixed signals are synchro- nized as the strong signal, and the demodulation bit error rate of the strong signal is reduced by subtracting the prediction waveform of the weak signals from the mixed signals, while the nonlinear filtering is introduced for the weak signals wave- form prediction which utilizing the predictability of the waveform of the weak signals. The simulation results show that, compared with the hard decision of the mixed signals, the demodulation error performance of the strong signal has a great improvement after nonlinear filtering.