Title
Decision Feedback Aided Detection Based On Lattice Reduction In Mimo Systems
Abstract
In this paper, a novel MIMO detection named decision feedback aided detection based on lattice reduction (DFDLR) is proposed. Lattice reduction has been proposed to be exploited in signal detection in multiple antenna systems. However, lattice reduction transforms the QAM constellation cube to be a parallelotope, and it is difficult to determine the transformed QAM boundaries, which results in sub-optimal performance with simple quantization. We propose to exploit decision feedback to enhance the QAM boundary control. Simulations show that decision feedback can improve the performance of lattice reduction-based linear detection (LD) and lattice reduction-based successive interference cancellation (SIC) significantly especially with zero forcing (ZF) criterion. It is also shown by simulation that the proposed scheme in conjunction with SIC can approach maximum likelihood (NIL) detection with MMSE criterion at high signal-to-noise ratio (SNR).
Year
DOI
Venue
2006
10.1109/VETECS.2006.1683138
2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6
Keywords
Field
DocType
decision feedback, MIMO, linear detection, lattice reduction, successive interference cancellation
Quadrature amplitude modulation,Detection theory,Computer science,QAM,Single antenna interference cancellation,Signal-to-noise ratio,MIMO,Electronic engineering,Quantization (signal processing),Lattice reduction
Conference
Volume
Issue
ISSN
4
null
1550-2252
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Xinglin Wang1132.83
Gong P213317.18
Kai Niu356186.80
weiling wu4429.81
Jie Zhang500.34
M. Weckerle6537.38