Open Access System for Information Sharing

Login Library

 

Article
Cited 3 time in webofscience Cited 6 time in scopus
Metadata Downloads

Soft Log Likelihood Ratio Replacement for Low-Complexity Maximum-Likelihood Detection SCIE SCOPUS

Title
Soft Log Likelihood Ratio Replacement for Low-Complexity Maximum-Likelihood Detection
Authors
Kim, DKim, HMIm, GH
Date Issued
2012-03
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
For multiple-input multiple-output systems, spatial multiplexing techniques can provide significant throughput gain. However, this promised gain can be attained by using maximum-likelihood detection (MLD) which requires huge computational complexity, and thus several low-complexity schemes are proposed to reduce the search space of the MLD. In this letter, we consider the log likelihood ratio (LLR) computation in low complexity MLD for soft channel decoding. We design a weighted combining method for a reliable LLR computation, compensating for the performance loss incurred by insufficient candidates of low-complexity MLD. The proposed LLR generation algorithm effectively reduces the computational complexity while maintaining the system performance of spatial multiplexing systems.
Keywords
Multiple-input multiple-output (MIMO); maximum-likelihood detection (MLD); log likelihood ratio (LLR) generation; MIMO; SYSTEMS; CHANNEL
URI
https://oasis.postech.ac.kr/handle/2014.oak/16443
DOI
10.1109/LCOMM.2012.010512.111949
ISSN
1089-7798
Article Type
Article
Citation
IEEE COMMUNICATIONS LETTERS, vol. 16, no. 3, page. 296 - 299, 2012-03
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

임기홍IM, GI HONG
Dept of Electrical Enginrg
Read more

Views & Downloads

Browse