DocumentCode :
1739473
Title :
Reduced-complexity detection algorithms for systems using multi-element arrays
Author :
Li, Xiaodong ; Huang, Howard C. ; Lozano, Angel ; Foschini, Gerard J.
Author_Institution :
Lucent Technol. Bell. Labs., Holmdel, NJ, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1072
Abstract :
In BLAST (Bell-Laboratories LAyered Space Time) systems, multiple transmit and receive antennas are employed to achieve very high spectral efficiencies. The ideal detection method for such systems is the maximum-likelihood (ML) algorithm. However, the ML complexity increases exponentially with the number of transmit antennas and the number of bits per modulation symbol. A reduced-complexity detection method has been suggested, using ordered successive interference cancellation. We consider two other suboptimum techniques: channel-based adaptive group detection and multistep reduced-constellation detection. The goal is to reduce the two aforementioned complexity exponentials. The algorithms efficiently combine linear processing with local ML search. We limit the complexity by maintaining small ML searching areas, while maximizing the performance under the complexity constraint by optimizing the front-end linear processing and the selection of the search areas
Keywords :
adaptive antenna arrays; adaptive signal detection; adaptive signal processing; array signal processing; computational complexity; interference suppression; maximum likelihood detection; radiofrequency interference; receiving antennas; search problems; transmitting antennas; BLAST; Bell-Laboratories Layered Space Time systems; ML complexity; channel-based adaptive group detection; complexity exponentials reduction; front-end linear processing; linear processing; local ML search; maximum-likelihood algorithm; multi-element arrays; multiple receive antennas; multiple transmit antennas; multistep reduced-constellation detection; ordered successive interference cancellation; reduced-complexity detection algorithms; reduced-complexity detection method; small ML searching areas; spectral efficiency; suboptimum techniques; Additive white noise; Detection algorithms; Fading; Interference cancellation; Maximum likelihood detection; Multiuser detection; Receiving antennas; Signal detection; Space technology; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2000. GLOBECOM '00. IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-6451-1
Type :
conf
DOI :
10.1109/GLOCOM.2000.891302
Filename :
891302
Link To Document :
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