Soft-output extension of an SNR-adaptive sphere decoder for coded MIMO systems

In this paper, a list sphere decoding method based on an extension of the signal noise ratio (SNR)-adaptive sphere decoder (SSD) is proposed to perform joint iterative detection and decoding in coded multiple-input multiple-output (MIMO) systems. The SSD offers almost optimal symbol error rate (SER)...

Full description

Saved in:
Bibliographic Details
Published in2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) pp. 1 - 4
Main Authors Shuangshuang Han, Tellambura, C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2012
Subjects
Complexity theory
Detectors
Iterative decoding
Maximum likelihood decoding
MIMO
Signal to noise ratio
soft information
Sphere decoder
Online AccessGet full text
ISBN1467314315
9781467314312
ISSN0840-7789
DOI10.1109/CCECE.2012.6334884

Cover

More Information
Summary:In this paper, a list sphere decoding method based on an extension of the signal noise ratio (SNR)-adaptive sphere decoder (SSD) is proposed to perform joint iterative detection and decoding in coded multiple-input multiple-output (MIMO) systems. The SSD offers almost optimal symbol error rate (SER) performance over the entire range of SNRs, while keeping its complexity roughly constant for uncoded MIMO systems. The proposed list SSD (LSSD) further improves the complexity of detection schemes in coded MIMO systems, which can greatly reduce the number of nodes visited when generating the candidate list. The simulation results show that the LSSD achieves mostly equivalent performance to the original list sphere decoder (LSD), and much lower complexity compared to the LSD.
ISBN:1467314315
9781467314312
ISSN:0840-7789
DOI:10.1109/CCECE.2012.6334884