DocumentCode :
463805
Title :
Low-Complexity MIMO Data Detection using Seysen´s Lattice Reduction Algorithm
Author :
Seethaler, D. ; Matz, Gerald ; Hlawatsch, Franz
Author_Institution :
Inst. of Commun. & Radio-Frequency Eng., Vienna Univ. of Technol., Austria
Volume :
3
fYear :
2007
fDate :
15-20 April 2007
Abstract :
Lattice reduction (LR) is a powerful technique for improving the performance of suboptimum MIMO data detection methods. For LR-assisted data detection, the LLL algorithm has been considered almost exclusively so far. In this paper, we propose and develop the application of Seysen´s algorithm (SA) to LR-assisted MIMO detection, and we show that the SA is a promising alternative to the LLL algorithm. Specifically, the SA outperforms the LLL algorithm in that it finds better lattice bases for MIMO systems of practical interest, which is reflected by an improved performance of SA-assisted detectors relative to their LLL-assisted counterparts. We present an efficient implementation of the SA whose per-iteration complexity is linear in the number of antennas, and we demonstrate that the SA requires significantly fewer iterations than the LLL algorithm.
Keywords :
MIMO communication; antenna arrays; signal detection; LLL algorithm; LR-assisted data detection; Seysen lattice reduction algorithm; low-complexity suboptimum MIMO data detection; per-iteration complexity; Data engineering; Detectors; Electronic mail; Lattices; MIMO; Maximum likelihood detection; Power engineering and energy; Radio frequency; Receiving antennas; Transmitting antennas; LLL algorithm; MIMO data detection; Seysen´s algorithm; lattice reduction; spatial multiplexing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366470
Filename :
4217644
Link To Document :
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