Performance of turbo decoding for time-varying multipath channels

In this paper, the performance of turbo coded signals are investigated over a new channel model, denoted as wide-sense stationary uncorrelated scattering (WSSUS) multipath channel. Digital transmission through WSSUS channel model with additive white Gaussian noise (AWGN) introduced at the receiver. For observing the performance of the turbo decoder, COST207 (COoperation in the field of Science & Technology, Project #207) models (statistical channel models) based on WSSUS channel model are considered. Before decoding, the inverse filtering applied to equalize the corrupted data. LMS, RLS and Kalman algorithms are used for estimating inverse filter coefficients. Turbo decoder and its efficient implementation are discussed, and simulation results are presented.