DocumentCode
1231470
Title
An adaptive detector for deterministic signals in noise of unknown spectra using the Rao test
Author
Baggenstoss, Paul M. ; Kay, Steven M.
Author_Institution
Raytheon Co., Portsmouth, RI, USA
Volume
40
Issue
6
fYear
1992
fDate
6/1/1992 12:00:00 AM
Firstpage
1460
Lastpage
1468
Abstract
An adaptive detector for a known deterministic signal of unknown amplitude in Gaussian noise of unknown spectra is described. The detector is based on the Rao test, which is asymptotically equivalent to the generalized likelihood ratio. The detector achieves constant false alarm probability in the presence of large changes in input noise bandwidth and variance while providing optimum detection performance. The results are supported by simulation
Keywords
random noise; signal detection; Gaussian noise; Rao test; adaptive detector; constant false alarm probability; deterministic signals; input noise bandwidth; optimum detection performance; signal detection; unknown spectra; Adaptive signal detection; Background noise; Detectors; Gaussian noise; Noise level; Radar detection; Reverberation; Signal detection; Testing; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.139248
Filename
139248
Link To Document