Title :
Systematic Design of Iterative ML Receivers for Flat Fading Channels
Author :
Schmitt, Lars ; Meyr, Heinrich ; Zhang, Dan
Author_Institution :
Philips Res. Eur., Eindhoven, Netherlands
fDate :
7/1/2010 12:00:00 AM
Abstract :
We extend the methodology in [1] to flat fading channels. The systematically derived receiver structure corresponds to an iterative solution of the joint maximum likelihood (ML) optimization problem. The heuristically derived BICM with iterative decoding is shown to be the outcome of this joint ML optimization problem.
Keywords :
AWGN; Additive white noise; Channel estimation; Fading; Interleaved codes; Iterative decoding; Iterative methods; Maximum likelihood decoding; Maximum likelihood estimation; Modulation coding; BICM-ID; Concatenated codes; iterative receiver design; soft-symbol estimation; turbo estimation;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.07.090072
