Title :
Improved lattice reduction aided detection based on extended noise variance matrix for MIMO systems
Author :
Lee, Dong-Jin ; Kim, Ryun-Woo ; Byun, Youn-Shik
Author_Institution :
Univ. of InCheon, Incheon
Abstract :
Recently lattice-reduction (LR) has been used in signal detection for multiple-input multiple-output (MIMO) systems. The conventional LR aided detection schemes are combinations of LR and signal detection methods such as zero-forcing (ZF) and minimum mean square error (MMSE) detection. In this paper, we propose the LR aided scheme based on extended noise variance matrix in quantization step. Simulation results in a random MIMO system show that the proposed scheme exhibits improved performance and a slight increase in complexity.
Keywords :
MIMO communication; mean square error methods; signal detection; MIMO systems; extended noise variance matrix; lattice reduction; minimum mean square error; signal detection; zero forcing; Covariance matrix; Lattices; MIMO; Maximum likelihood detection; Mean square error methods; Noise reduction; Quantization; Receiving antennas; Signal detection; Transmitting antennas; Lattice-reduction; MIMO systems; maximum-likelihood detection; wireless communication;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2007. SPAWC 2007. IEEE 8th Workshop on
Conference_Location :
Helsinki
Print_ISBN :
978-1-4244-0955-6
Electronic_ISBN :
978-1-4244-0955-6
DOI :
10.1109/SPAWC.2007.4401327
