DocumentCode
1723248
Title
Low-complexity near-maximum-likelihood detection and precoding for MIMO systems using lattice reduction
Author
Windpassinger, Christoph ; Fischer, Robert F H
Author_Institution
Lehrstuhl fur Informationsubertragung, Erlangen-Nurnberg Univ., Erlangen, Germany
fYear
2003
Firstpage
345
Lastpage
348
Abstract
We consider the lattice-reduction-aided detection scheme for 2×2 channels recently proposed by H. Yao and G.W. Wornell (see Proc. IEEE Globecom, 2002). By using an equivalent real-valued substitute MIMO channel model, their lattice reduction algorithm can be replaced by the well-known LLL (Lenstra-Lenstra-Lovasz) algorithm (Lenstra, A.K. et al., 1982), which enables the application of the algorithm to MIMO systems with arbitrary numbers of dimensions. We show how lattice reduction can also be favourably applied in systems that use precoding and give simulation results that underline the usefulness of this approach.
Keywords
MIMO systems; encoding; maximum likelihood decoding; maximum likelihood detection; telecommunication channels; MIMO systems; lattice decoding; lattice reduction; maximum-likelihood decoding; near-maximum-likelihood detection; precoding; Additive white noise; Baseband; Detectors; Error analysis; Lattices; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Signal detection; Space time codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory Workshop, 2003. Proceedings. 2003 IEEE
Print_ISBN
0-7803-7799-0
Type
conf
DOI
10.1109/ITW.2003.1216764
Filename
1216764
Link To Document