Title :
Matched subspace detectors
Author :
Scharf, Louis L. ; Friedlander, Benjamin
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-4120-7
DOI :
10.1109/ACSSC.1993.342610
