Abstract：Traditional methods filter the signals in a time domain or a frequency domain, which will cause varying the degrees of damage and real-time error, with heavy computational complexity and equipment problems.To solve the above problems, an updated data block based on a sliding window independent component analysis ( ICA) algorithm is presented by the short-term stable characteristics of wireless communication channels, for separating a wireless communication signal and interference suppression, from the view of blind source separation. Simulation result shows that the algorithm has a better capability in interferon rejection in radio communication signals and greatly reduces the amount of data operations.

Keyword：interferon rejection;blind source separation;sliding window ICA;data block update;