Application of maximal invariance to the ACE detection problem
Publication
, Journal Article
Kraut, S; Krolik, J
Published in: Conference Record of the Asilomar Conference on Signals Systems and Computers
December 1, 2000
Three simple adaptive detection statistics frequently appearing in the radar detection literature, which employ a sample covariance estimate for clutter suppression, are Kelly's GLRT, the adaptive matched filter (AMF), and the adaptive cosine estimator (ACE), which is also a GLRT, for the problem where the test-data power level is unconstrained relative to the training data. Bose and Steinhardt found a two-dimensional maximal invariant statistic for the adaptive detection problem for which Kelly's statistic is a GLRT, a one-to-one function of the Kelly GLRT and the AMF. We extend this maximal-invariant framework to the adaptive detection problem for which ACE is a GLRT, showing that ACE is a one-dimensional maximal invariant.
Duke Scholars
Published In
Conference Record of the Asilomar Conference on Signals Systems and Computers
ISSN
1058-6393
Publication Date
December 1, 2000
Volume
1
Start / End Page
417 / 420
Citation
APA
Chicago
ICMJE
MLA
NLM
Kraut, S., & Krolik, J. (2000). Application of maximal invariance to the ACE detection problem. Conference Record of the Asilomar Conference on Signals Systems and Computers, 1, 417–420.
Kraut, S., and J. Krolik. “Application of maximal invariance to the ACE detection problem.” Conference Record of the Asilomar Conference on Signals Systems and Computers 1 (December 1, 2000): 417–20.
Kraut S, Krolik J. Application of maximal invariance to the ACE detection problem. Conference Record of the Asilomar Conference on Signals Systems and Computers. 2000 Dec 1;1:417–20.
Kraut, S., and J. Krolik. “Application of maximal invariance to the ACE detection problem.” Conference Record of the Asilomar Conference on Signals Systems and Computers, vol. 1, Dec. 2000, pp. 417–20.
Kraut S, Krolik J. Application of maximal invariance to the ACE detection problem. Conference Record of the Asilomar Conference on Signals Systems and Computers. 2000 Dec 1;1:417–420.
Published In
Conference Record of the Asilomar Conference on Signals Systems and Computers
ISSN
1058-6393
Publication Date
December 1, 2000
Volume
1
Start / End Page
417 / 420