Adaptive detection performance of principal components inverse, cross spectral metric and the partially adaptive multistage Wiener filter

Author

Freburger, B.E. ; Tufts, D.W.

Author_Institution

Dept. of Comput. & Electr. Eng., Rhode Island Univ., Kingston, RI, USA

Volume

2

fYear

1998

fDate

1-4 Nov. 1998

Firstpage

1522

Abstract

This paper compares the small sample adaptive detection performance of the principal component inverse (PCI) method with the newer cross spectral metric (CSM) and partially adaptive multistage Wiener filter for the partially adaptive sidelobe canceller. By examining properties of the estimated metrics, scenarios which will result in poor performance can be identified, providing insight on the best choice of method for a given application.

Keywords

Wiener filters; adaptive filters; adaptive signal detection; adaptive signal processing; filtering theory; interference suppression; inverse problems; jamming; principal component analysis; spectral analysis; cross spectral metric; estimated metrics; interference; jammers; partially adaptive multistage Wiener filter; partially adaptive sidelobe canceller; principal components inverse; small sample adaptive detection performance; Gaussian processes; Guidelines; Interference cancellation; Noise cancellation; Phase detection; Signal to noise ratio; Tin; Wiener filter; Yield estimation; Zinc;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-5148-7

Type

conf

DOI

10.1109/ACSSC.1998.751581

Filename

751581