A near-ML complex K-best sphere decoder with efficient search design for MIMO systems

Chung Jung Huang*, Chih Sheng Sung, Ta-Sung Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, a new search strategy based on a derived cumulative distribution function (cdf) is proposed. It is shown that incorporating detection ordering into the conventional K-Best sphere decoding algorithm (SDA) offirs a systematic method for determining the numbers of required ML search layers. With the features, applying the proposed search strategy to conventional complex K-Best SDA, the decoder can achieve excellent performance, and it is well-suited to real-time MIMO-OFDM systems.

Original languageEnglish
Title of host publicationISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings
DOIs
StatePublished - 1 Dec 2010
Event18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010 - Chengdu, China
Duration: 6 Dec 20108 Dec 2010

Publication series

NameISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings

Conference

Conference18th International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2010
CountryChina
CityChengdu
Period6/12/108/12/10

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