Title :
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
fDate :
29 Nov.-3 Dec. 2004
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;
Conference_Titel :
Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE
Print_ISBN :
0-7803-8794-5
DOI :
10.1109/GLOCOM.2004.1378467
