Blind Multichannel Deconvolution with Cascaded Kalman Filters

Abstract

Blind multichannel deconvolution is a demanding technology in modern signal processing field. The proposed algorithm is based on two cascaded Kalman filter. The first Kalman filter performs the blind identification of the multichannel impulse response using the cross-correlation condition; the second Kalman filter carries out the deconvolution process. The two Kalman filters are unified into a common iteration period, so the blind multichannel deconvolution is adaptively executed. Simulation shows that the proposed algorithm works well.