A generalized MIMO architecture for set-membership-based signal processing

Author

Odeh, Souheil F.

Author_Institution

Dept. of Electr. Eng., Jordan Univ., Amman, Jordan

fYear

1993

fDate

3-6 May 1993

Firstpage

806

Abstract

A generalized multiple-input-multiple-output (MIMO) parallel architecture is developed. It implements the complex-vector case of the set-membership weighted recursive least squares (SM-WRLS) algorithm, and very significantly improves the efficiency of this algorithm when compared to the conventional matrix inversion lemma-based WRLS algorithm. This compact architecture uses only &ogr;(m) cells and reduces the computational complexity of the algorithm to &ogr;(m ) operations per data set, where m represents the number of parameters to be estimated in each dimension of the model

Keywords

computational complexity; least squares approximations; parallel architectures; recursive estimation; signal processing; complex-vector case; computational complexity; data set; generalized MIMO architecture; parameter estimation; recursive least squares; set-membership-based signal processing; Computational complexity; Computer architecture; Least squares methods; Linear systems; MIMO; Marine vehicles; Parameter estimation; Samarium; Signal processing; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on

Conference_Location

Chicago, IL

Print_ISBN

0-7803-1281-3

Type

conf

DOI

10.1109/ISCAS.1993.393845

Filename

393845