An adaptive algorithm for linear/nonlinear distortion cancellation in digital communication systems

The authors describe an adaptive distortion cancellation algorithm which can be used in the receiver of a digital communications system to cancel intersymbol interference without increasing the noise level already present in the received signal. The algorithm uses tentative decisions to form noiseless ISI estimates, but is substantially different in its decision-making strategy and more resilient with respect to tentative decision errors. The proposed algorithm is generic and can be used with a variety of canceler architectures in mitigating ISI caused by arbitrary combinations of linear and nonlinear system impairments. Computer-simulation results illustrating the performance capabilities of the algorithm subject to a severely distorted channel are presented