Turbo decoding for partial response channels with colored noise

Abstract

Recent work on the application of turbo decoding techniques to partial response channels has focused on additive white Gaussian noise channel models. Simulations using these ideal partial response channel models show gains exceeding 5 dB over uncoded systems at bit error rates of 10/sup -5/. Since the APP detectors of the turbo decoder assume uncorrelated Gaussian noise, the performance on more realistic channel models, using correlated noise, was unknown. In this work, we replace the white noise partial response channel model with the more realistic equalized Lorentzian channel model. Simulation results of the turbo decoding system with both channel models will be presented.