Distributed adaptive algorithms for large dimensional MIMO systems

Author

Van Veen, Barry D. ; Leblond, Olivier ; Mani, Vijay P. ; Sebald, Daniel

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

3

fYear

1998

fDate

12-15 May 1998

Firstpage

1489

Abstract

A distributed algorithm for MIMO adaptive filtering is introduced. This algorithm distributes the adaptive computation over a set of linearly connected computational modules. Each module transmits data to and receives data from its nearest neighbor. A back-propagation LMS based algorithm is presented for adapting the parameters in each module. The performance surface is explored to identify upper bounds on each parameter and guidelines for choosing the LMS algorithm step sizes. An example illustrates the application of the algorithm

Keywords

MIMO systems; adaptive filters; backpropagation; distributed algorithms; least mean squares methods; parameter estimation; MIMO adaptive filtering; adaptive computation; back-propagation LMS based algorithm; distributed adaptive algorithms; large dimensional MIMO systems; linearly connected computational modules; performance surface; upper bounds; Adaptive algorithm; Adaptive filters; Adaptive systems; Distributed algorithms; Distributed computing; Drives; Least squares approximation; MIMO; Nearest neighbor searches; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681731

Filename

681731