LLR optimization for iterative MIMO BICM receivers

Iterative detection and decoding (IDD) relies on passing useful extrinsic information between the detector and the decoder. Due to the sub-optimality of practical detector and/or decoder, the direct output LLRs from the detector or the decoder may not provide sufficient gains to each other. Proper s...

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Bibliographic Details
Published in2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1956 - 1960
Main Authors Jinhong Wu, El-Khamy, Mostafa, Jungwon Lee, Inyup Rang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
Decoding
Detectors
generalized mutual information
Iterative decoding
iterative receiver
LLR
MIMO
Mutual information
Optimization
Receivers
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Summary:Iterative detection and decoding (IDD) relies on passing useful extrinsic information between the detector and the decoder. Due to the sub-optimality of practical detector and/or decoder, the direct output LLRs from the detector or the decoder may not provide sufficient gains to each other. Proper scaling of the extrinsic LLRs based on certain optimality criteria may improve the performance of the IDD receiver. However, finding optimal scaling function for IDD receiver in general is still an open problem. In this paper, we investigate LLR scaling of the detector and the decoder output based on maximization of generalized mutual information.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2014.6853940