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

fYear

2011

fDate

21-23 Oct. 2011

Firstpage

86

Lastpage

88

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCPS.2011.6089781

Filename

6089781