Title :
A dynamic MIMO detector algorithm based on channel analysis
Author :
Yu, Nie ; Fan, Ye ; Junyan, Ren
Author_Institution :
State Key Lab. of ASIC & Syst., Fudan Univ., Shanghai, China
Abstract :
This paper analyzes the effect of channel gains on the performance of signal detection in multiple-input multiple-output (MIMO) systems, and based on that proposes an intelligent MIMO signal detection algorithm. It dynamically chooses child-node number according to the gains between antennas. This algorithm is verified by simulation in the MIMO system with Matlab. While keeping the detection performance close to Maximum-likelihood (ML) detection, it can reduce up to 54% extension nodes compared with conventional K-Best algorithm.
Keywords :
MIMO systems; maximum likelihood detection; K-Best algorithm; Matlab simulation; channel analysis; channel gains; child-node number; dynamic MIMO detector; extension nodes; intelligent MIMO signal detection; maximum likelihood detection; multiple-input multiple-output systems; Algorithm design and analysis; Bit error rate; Heuristic algorithms; MIMO; Signal detection; Signal to noise ratio; Simulation;
Conference_Titel :
Computational Problem-Solving (ICCP), 2011 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4577-0602-8
Electronic_ISBN :
978-1-4577-0601-1
DOI :
10.1109/ICCPS.2011.6089781
