Matched subspace detectors

Author

Scharf, Louis L. ; Friedlander, Benjamin

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

701

Abstract

Studies the problem of detecting subspace signals in subspace interference and broadband noise. The authors derive the generalized likelihood ratio (GLR) and establish its invariances. Then then prove that the GLR test (GLRT) is the uniformly most powerful invariant detector, establishing once and for all its optimality

Keywords

interference (signal); linear algebra; matched filters; signal detection; GLR test; GLRT; broadband noise; generalized likelihood ratio; invariances; matched subspace detectors; subspace interference; subspace signals; Additive white noise; Colored noise; Detectors; Helium; Interference; Matched filters; Signal detection; Signal processing; Sonar detection; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342610

Filename

342610

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2255851