Design criteria on convergence analysis of LMS algorithms for layered space-time MIMO systems

Author

Chueh, Joseph ; Li, Yonghui ; Vucetic, Branka

Author_Institution

Sch. of Electr. & Inf. Eng., Sydney Univ., NSW, Australia

Volume

4

fYear

2004

fDate

29 Nov.-3 Dec. 2004

Firstpage

2557

Abstract

The stochastic gradient-based least-mean-square (LMS) algorithm has a significant feature of simple implementations. Its applications in multiple-input-multiple-output (MIMO) layered space-time (LST) systems are considered in this paper. We derive the design criteria of the adaptive iterative/decision-feedback (DFB) LMS receivers in MIMO systems. It has been found that the algorithm converges in accordance with the minimum eigenvalue of the correlation matrices where received symbols and interference estimates are the entries of two correlation matrices respectively.

Keywords

MIMO systems; automatic repeat request; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; iterative methods; least mean squares methods; matrix algebra; radio receivers; space-time adaptive processing; space-time codes; stochastic processes; DFB; LMS algorithms; LST; adaptive iterative/decision-feedback LMS receivers; algorithm convergence; convergence analysis; correlation matrices; design criteria; interference estimates; iterative adaptive receivers; layered space-time MIMO systems; minimum eigenvalue; multiple-input-multiple-output layered space-time systems; received symbols; stochastic gradient-based least-mean-square algorithm; Algorithm design and analysis; Convergence; Feedback; Filters; Interference; Iterative algorithms; Least squares approximation; MIMO; Receiving antennas; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE

Print_ISBN

0-7803-8794-5

Type

conf

DOI

10.1109/GLOCOM.2004.1378467

Filename

1378467