Kalman滤波下的多信号单通道盲源分离

窄带物联网环境中，接收机收到的信号通常为多路混合信号，对单通道接收来说，利用常规盲源分离方法很难实现混合信号的分离和源信号提取。针对这一问题，本文提出了一种利用Kalman滤波算法进行信号估计，解决单通道盲源分离的方法。该方法利用信号间的时序结构，通过Kalman滤波算法对多信号混合中的源信号不断估计并迭代更新，最终得到分离信号。仿真实验结果表明，该方法能有效估计并分离出源信号。 

Blind Source Separation of the Multi-signal Single Channel Based on Kalman Filtering

In a narrowband network environment, the signals received by the receiver are usually multi-channel mixed signals. For single channel receivers, it is difficult to separate the mixed signals and extract the source signals by using conventional blind source separation method. To solve this problem, this paper proposed a method of single channel blind source separation using Kalman filtering algorithm for signal estimation. This method used the time-series structure between signals and uses the Kalman filter algorithm to continuously estimate and iteratively update the source signal in the multi-signal mixture, finally the signal got separated. Simulation results show that the proposed method can effectively estimate and separate the source signals.