Sub-Optimal Soft-Output MAP Detector with Lattice Reduction Based on Euclidean Distance Interpolation

Author

Silvola, Pirkka ; Hooli, Kari ; Juntti, Markku

Author_Institution

Nokia Technol. Platforms, Oulu

fYear

2007

fDate

22-25 April 2007

Firstpage

1708

Lastpage

1712

Abstract

The use of lattice reduction (LR) has been shown to be a very effective method for signal detection in multiple antenna systems. In this paper, the performance of the sub-optimal soft-output maximum a posteriori (MAP) detector with lattice reduction is studied. We propose a polynomial-time method to generate the desired size candidate list in the reduced lattice. This sub-optimal soft-output MAP detector provides a near-optimal performance in uncorrelated MIMO systems, but with significantly reduced computational complexity.

Keywords

MIMO communication; antenna arrays; interpolation; maximum likelihood detection; polynomials; Euclidean distance interpolation; MIMO systems; lattice reduction; maximum a posteriori detector; multiple antenna systems; polynomial-time method; signal detection; sub-optimal soft-output MAP detector; Computational complexity; Detectors; Euclidean distance; Interpolation; Lattices; MIMO; Maximum likelihood detection; Modulation coding; OFDM modulation; Quadrature amplitude modulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th

Conference_Location

Dublin

ISSN

1550-2252

Print_ISBN

1-4244-0266-2

Type

conf

DOI

10.1109/VETECS.2007.355

Filename

4212783