基于循环频域滤波及Schmidt正交对消的单通道信号分离算法

Single channel signal separation algorithm based on cyclostationary filtering and Schmidt orthogonal cancellation

单通道盲信号分离是信号处理领域中的研究热点和难点。分析了循环频域滤波用于单通道时频重叠信号分离的可行性,提出了基于循环平稳频移滤波器及Schmidt正交对消的信号分离方法。利用频移滤波器提取一个源信号,通过Schmidt正交化法从观测信号中消去已提取的源信号获得另一个源信号。仿真表明,本文算法可有效分离时频重叠的雷达通信信号,相比时域维纳滤波,分离性能提高了10dB以上。

Single Channel Blind Signal Separation （SCBSS） is a hot and difficult topic in signal processing field. The feasibility of cyclostationary filtering applied in the single channel signal separation problem for the spectrally overlapping signals was analyzed, and then a separation algorithm based on frequency shift filter and Schmidt orthogonal cancellation was proposed. Firstly a source signal by frequency shift filter was extracted, then another source signal was estimated by subtracting the signal recovered from the mixture based on Schmidt orthogonalization. Simulation results indicate that, compared with the Wiener filtering technique, the proposed algorithm can separate radar and communication signals which are spectrally overlapping effectively and the proposed algorithm estimates the source signals with higher gain about 10dB.