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dc.contributor.authorHuang, Chung-Jungen_US
dc.contributor.authorLee, Chang-Shenen_US
dc.contributor.authorChung, Wei-Hoen_US
dc.contributor.authorLee, Ta-Sungen_US
dc.date.accessioned2015-07-21T08:29:45Z-
dc.date.available2015-07-21T08:29:45Z-
dc.date.issued2015-06-01en_US
dc.identifier.issn1051-2004en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.dsp.2015.03.005en_US
dc.identifier.urihttp://hdl.handle.net/11536/124628-
dc.description.abstractIn this paper, a geometry based decoder with low decoding complexity and exact maximum-likelihood (ML) performance is proposed for underdetermined multiple-input multiple-output (MIMO) systems. In the proposed decoder, an underdetermined MIMO system can be divided into a multiple-input single-output (MISO) sub-system and a regular MIMO sub-system in which numbers of transmit and receive antennas are equal. An efficient slab search algorithm (ESSA) is adopted to efficiently obtain valid candidate points in the MISO sub-system. By adopting ESSA in the MISO sub-system and sphere decoding algorithm (SDA) in the MIMO sub-system, ML solution of underdetermined MIMO system can be obtained with low computational complexity. To further reduce the computational complexity, a near-ML SDA is proposed to more efficiently find the candidate points in the MIMO sub-system. In addition, an optimal preprocessing technique is proposed from the geometrical perspective and the comprehensive analysis on the complexity reduction is also provided. Simulation results indicate that the proposed approach significantly reduces the complexity as compared to existing ML decoders, particularly for systems with large number of antennas and/or high-order constellations. (C) 2015 Elsevier Inc. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectMaximum-likelihood (ML) detectionen_US
dc.subjectSphere decodingen_US
dc.subjectTree searchen_US
dc.subjectOrderingen_US
dc.titleA geometry based efficient decoder for underdetermined MIMO systemsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.dsp.2015.03.005en_US
dc.identifier.journalDIGITAL SIGNAL PROCESSINGen_US
dc.citation.volume41en_US
dc.citation.spage60en_US
dc.citation.epage69en_US
dc.contributor.department電機資訊學士班zh_TW
dc.contributor.departmentUndergraduate Honors Program of Electrical Engineering and Computer Scienceen_US
dc.identifier.wosnumberWOS:000354230700006en_US
dc.citation.woscount0en_US
Appears in Collections:Articles