Abstract

A technique for the blind equalization of digital communications channels relies on the iterative minimization of a cost function known as the J-divergence between a known or assumed probability density function (PDF) of the source data signal and an estimated PDF of a receiver decision output signal derived from the equalizer output signal by minimum-distance mapping. The J-divergence function is defined in terms of the Kullback-Leibler distance between the two PDFs. Minimization is achieved by continually updating both an equalizer tap coefficient vector and the estimated PDF of the decision output signal using a stochastic gradient algorithm applied to the J-divergence cost function.

Date

April 11, 2000

Authors

JP Noonan, IB Guvelioglu, P Natarajan

Inventors

Joseph Patrick Noonan, Ilyas Berk Guvelioglu, Premkumar Natarajan

Patent_office

US

Patent_number

6049574

Application_number

09061880