A new quasi switching algorithm for blind source separation

A new quasi switching algorithm for blind source separation (BSS) was developed that resolves difficulties in the separation of all kinds of seriously mixed signals in an electronic warfare (EW) environment. The algorithm first introduces a unit symmetrical sliding weighted vector to weight estimated signals after iteration as source signals. It uses signal kurtosis to replace a symbol bit for kurtosis as a judging function to adaptively choose and weight the corresponding activation function. This gives a new judging method which was used to judge the finishing time of iteration in signal sorting. Computer simulation results showed that, under the influence of strong background noise, the novel algorithm can be more effective in unknown multi-source separation of linear mixed signals than the original algorithm. In addition, separation efficiency, stability, process capacity and anti-noise performance were greatly improved relative to the original algorithm.