Modeling and Compensating Input Distortion in MIMO Systems
via Blind Deconvolution
This paper proposes a method for modeling and
compensating nonlinear input distortion in MIMO dynamical
systems. This is conducted in three steps. First, the distorted
signals are recovered from the observed output by using blind
signal deconvolution based on statistical independence of the
input signals. The linear part of the system is also identified in
this first step. Secondly, the recovered signal, together with the
input signal, gives a model of distortion as a nonlinear function.
Finally the distortion is compensated by applying the inverse
of the estimated function.