A new method of Wiener filtering and its application to interference mitigation for communications

Author

Goldstein, J.Scott ; Reed, Irving S.

Author_Institution

Dept. of Electr. Eng., Southern California Edison Co., Los Angeles, CA, USA

Volume

3

fYear

1997

fDate

2-5 Nov 1997

Firstpage

1087

Abstract

A new multistage Wiener filter is introduced which utilizes a decomposition based on orthogonal projections. A reduced-rank Wiener filter is developed based on this new structure which is not basis oriented, but evolves a basis which is a function of the multistage decomposition. The performance of this new Wiener filtering structure is evaluated using a comparative computer analysis model. It is demonstrated that the low-complexity multistage reduced-rank Wiener filter is capable of outperforming the more complex eigendecomposition-based methods

Keywords

Wiener filters; filtering theory; interference suppression; multidimensional digital filters; Wiener filtering structure; communications; computer analysis model; decomposition; eigendecomposition-based methods; interference mitigation; low-complexity filter; multidimensional filter; multistage Wiener filter; multistage decomposition; orthogonal projections; performance; reduced-rank Wiener filter; Covariance matrix; Interference; Laboratories; Matrix decomposition; Nonlinear filters; Random processes; Signal processing; USA Councils; Vectors; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

MILCOM 97 Proceedings

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4249-6

Type

conf

DOI

10.1109/MILCOM.1997.644867

Filename

644867