On-line algorithms for blind deconvolution of multichannel linear time-invariant systems

Blind deconvolution and blind equalization have been important interesting topics in diverse fields including data communication, image processing and geophysical data processing. Inouye and Habe (1995) proposed a constrained multistage criterion for attaining blind deconvolution of multichannel linear time-invariant (LTI) systems. In this paper, based on their constrained criterion, we present an iterative algorithm for solving the blind deconvolution problem of multichannel LTI systems. Inouye and Sato (1996) proposed new unconstrained criteria for accomplishing the blind deconvolution of multichannel LTI systems. Based on their unconstrained criteria, we show iterative algorithms for solving the blind deconvolution of multichannel LTI systems. Simulation examples are included to examine the proposed algorithms.