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, D; Kim, HM; Im, 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
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- There are no files associated with this item.
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