An Iterative Receiver for Multi-Carrier Burst Transmission over Time-Frequency Selective Fading Channels

This paper is concerned with the issue of joint iterative channel estimation and data decoding, i.e., the use of soft information to estimate the fading channel within a turbo receiver. After formalizing the problem in the Bayesian minimum mean square error estimation context, we devise a low-complexity sub-optimum algorithm allowing us to perform reliable joint channel estimation and decoding without any a priori statistical knowledge of the fading process. As case study, we focus on a filter-bank-based multi-carrier burst transmission over a time and frequency selective fading channel. Simulation results in terms of overall decoder BER show that the proposed scheme is well suited for fast fading environments.