Title :
A Gram-Schmidt Based Lattice-Reduction Aided MMSE Detection in MIMO Systems
Author :
Fujino, Tadashi ; Wakazono, Shinjiro ; Sasaki, Yusuke
Author_Institution :
Univ. of Electro-Commun., Chofu, Japan
Abstract :
This paper proposes an improved lattice-reduction aided (LRA) MMSE detection based on the Gram-Schmidt (GS) procedure. The proposed detection reduces the column vectors of the MIMO channel matrix using the LLL algorithm and the GS procedure to create mutually purely orthogonal column vectors of the reduced channel matrix. Then the decision boundary becomes the same as that for the ML detection. Compared to the conventional LRA MMSE detector, the proposed detector achieves much closer BER performances to those for the ML detector in both the 4 × 4 MIMO and the 8 × 8 MIMO systems.
Keywords :
MIMO communication; least mean squares methods; matrix algebra; maximum likelihood detection; BER; Gram-Schmidt based lattice-reduction aided MMSE detection; LLL algorithm; MIMO channel matrix; maximum likelihood detection; orthogonal column vectors; Bit error rate; Channel capacity; Detectors; Gaussian processes; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Mean square error methods; Receiving antennas; Transmitting antennas;
Conference_Titel :
Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-4148-8
DOI :
10.1109/GLOCOM.2009.5425721
