Title :
Pairwise joint probability propagation in BICM-ID
Author :
Alberge, Florence
Author_Institution :
Lab. des Signaux et Syst., Univ. Paris-Sud, Orsay, France
Abstract :
The iterative decoding of BICM is analyzed from an optimization point of view. The objective function underlying the standard iterative decoding is a coarse approximation of the optimal Maximum Likelihood Decoding. This approximation is suitable when large block of data are processed but may be critical for short blocks. In this contribution, it is proved that refined approximations can be obtained by propagating extrinsics on groups of bits. The particular case of pairwise joint probability propagation is investigated. Its computational complexity is similar to standard iterative decoding. Simulations show the favorable behavior of the proposed method.
Keywords :
approximation theory; computational complexity; iterative decoding; maximum likelihood decoding; optimisation; probability; BICM-ID; bit-interleaved coded modulation; coarse approximation; computational complexity; objective function; optimal maximum likelihood decoding; optimization point of view; pairwise joint probability propagation; refined approximation; standard iterative decoding; Approximation methods; Bit error rate; Iterative decoding; Joints; Linear programming; Maximum likelihood decoding; Optimization;
Conference_Titel :
Turbo Codes and Iterative Information Processing (ISTC), 2012 7th International Symposium on
Conference_Location :
Gothenburg
Print_ISBN :
978-1-4577-2114-4
Electronic_ISBN :
2165-4700
DOI :
10.1109/ISTC.2012.6325188