Title :
A Least Mean Square Based Algorithm to Determine Transmit and Receive Weights for Eigenbeam MIMO Systems
Author :
Tominaga, Takayuki ; Muta, Osamu ; Akaiwa, Yoshihiko
Author_Institution :
Grad. Sch. of Inf. Sci. & Electr. Eng., Kyushu Univ., Fukuoka
Abstract :
MIMO system is a technology to realize high data rates and high capacity. Among various MIMO systems, Eigenbeam MIMO (E-MIMO) system achieves the theoretical maximum capacity. The E-MIMO system uses eigenvectors of channel autocorrelation matrix as transmit and receive weights. As a method to find these eigenvectors, eigenvalue decomposition or singular value decomposition (SVD) are generally well-known. In this paper, we propose a least mean square (LMS) based algorithm to find the transmit and receive weights without significant increase of computational complexity for E-MIMO system. Computer simulation shows that the proposed algorithm gives almost the same performance as that of SVD.
Keywords :
MIMO systems; channel capacity; computational complexity; eigenvalues and eigenfunctions; least mean squares methods; singular value decomposition; channel autocorrelation matrix; computational complexity; eigenbeam MIMO system; eigenvalue decomposition; eigenvector; least mean square algorithm; singular value decomposition; transmit-receive weight determination; Autocorrelation; Computer simulation; Eigenvalues and eigenfunctions; Least squares approximation; MIMO; Matrix decomposition; Signal processing algorithms; Singular value decomposition; Space technology; Transmitters;
Conference_Titel :
Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1644-8
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2008.171