Computer Science – Information Theory
Scientific paper
2005-08-12
Computer Science
Information Theory
To appear in Proc. of "Forty-Third Annual Allerton Conference on Communication, Control, and Computing" (Sept. 28th-30th 2005)
Scientific paper
A novel detector for multiple-input multiple-output (MIMO) communications is presented. The algorithm belongs to the class of the lattice detectors, i.e. it finds a reduced complexity solution to the problem of finding the closest vector to the received observations. The algorithm achieves optimal maximum-likelihood (ML) performance in case of two transmit antennas, at the same time keeping a complexity much lower than the exhaustive search-based ML detection technique. Also, differently from the state-of-art lattice detector (namely sphere decoder), the proposed algorithm is suitable for a highly parallel hardware architecture and for a reliable bit soft-output information generation, thus making it a promising option for real-time high-data rate transmission.
Fitz Michael P.
Siti Massimiliano
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