Tracking based ICA permutation and its experiment on blind radio source separation

A new permutation method for ICA (independent component analysis) separated signal blocks is presented. The proposed method utilizes the associativity in column vectors of estimated mixing matrix and tracking filter. It has advantages of not requiring array calibration, efficient computation, and real time updatability. Furthermore, it is shown, by an experiment using radio wave signals, that the proposed algorithm successfully permutes the separated signal blocks.