Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection

Recently, lattice-reduction-aided detectors have been proposed for multiinput multioutput (MIMO) systems to achieve performance with full diversity like the maximum likelihood receiver. However, these lattice-reduction-aided detectors are based on the traditional Lenstra-Lenstra-Lovasz (LLL) reducti...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 57; H. 7; S. 2701 - 2710
Hauptverfasser:	Ying Hung Gan, Ying Hung Gan, Cong Ling, Cong Ling, Wai Ho Mow, Wai Ho Mow
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.07.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Analytical models Applied sciences Channels Coding, codes Complex-valued algorithm Complexity complexity reduction Computer simulation Detectors Exact sciences and technology Gallium nitride Information, signal and communications theory lattice reduction Lattices Mathematical analysis Matrix decomposition Maximum likelihood decoding Maximum likelihood detection MIMO Miscellaneous multiinput multioutput (MIMO) Reduction Signal and communications theory Signal processing Signal processing algorithms Studies Telecommunications and information theory Performance evaluation MIMO system Maximum likelihood receiver Bit error rate lattice reduction Decoding Algorithm Complex variable method Upper bound Simulation Complex―valued algorithm Algorithm complexity multiinput multioutput (MIMO) Signal processing complexity reduction
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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