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dc.contributor.authorHuang, Chung-Jungen_US
dc.contributor.authorWu, Chih-Yungen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.date.accessioned2014-12-08T15:21:17Z-
dc.date.available2014-12-08T15:21:17Z-
dc.date.issued2011en_US
dc.identifier.isbn978-1-4244-9332-6en_US
dc.identifier.urihttp://hdl.handle.net/11536/15107-
dc.description.abstractIn this paper, a novel decoder for underdetermined MIMO systems with low decoding complexity is proposed. The development of the proposed decoder consists of two stages. First, an improved slab decoding algorithm efficiently obtains all valid candidate points within a given slab. Next, a multi-slab based decoding algorithm finds the optimal solution by conducting intersections on the obtained candidate set with dynamic radius adaptation. The proposed decoder offers the advantages of low computational complexity and near-ML decoding performance for underdetermined MIMO systems. Simulation results indicate that it effectively reduces the complexity as compared to existing decoders, especially for large antenna numbers and/or constellations.en_US
dc.language.isoen_USen_US
dc.subjectmaximum-likelihood (ML) detectionen_US
dc.subjectsphere decodingen_US
dc.subjectunderdetermined MIMOen_US
dc.titleGEOMETRY BASED EFFICIENT DECODING ALGORITHMS FOR UNDERDETERMINED MIMO SYSTEMSen_US
dc.typeProceedings Paperen_US
dc.identifier.journalSPAWC 2011: 2011 IEEE 12TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONSen_US
dc.citation.spage386en_US
dc.citation.epage390en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000299165600078-
Appears in Collections:Conferences Paper