DocumentCode
2782405
Title
Adaptive strategies for discrimination between mainlobe and sidelobe signals
Author
Bandiera, F. ; De Maio, A. ; De Nicola, S. ; Farina, A. ; Orlando, D. ; Ricci, G.
Author_Institution
DII, Univ. of Salento, Lecce, Italy
fYear
2010
fDate
10-14 May 2010
Firstpage
910
Lastpage
914
Abstract
We address adaptive discrimination between the signal of interest and a sidelobe interferer. To this end, we propose a detector derived resorting to a GLRT implementation of the generalized Neyman-Pearson rule and a two-stage detection scheme. The adaptive detectors rely on secondary data, free of signal components, but sharing the statistical characterization of the noise in the cell under test, in order to guarantee the CFAR property.
Keywords
matched filters; maximum likelihood detection; radar detection; GLRT implementation; Neyman-Pearson rule; adaptive detectors; generalized likelihood ratio test; mainlobe signals; matched filter; sidelobe interferer; sidelobe signals; Clutter; Detectors; Linear antenna arrays; Noise cancellation; Radar detection; Radar scattering; Signal design; Statistics; Testing; Uncertainty; Adaptive Radar Detection; Constant False Alarm Rate (CFAR); Sidelobe Signals Rejection;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Conference, 2010 IEEE
Conference_Location
Washington, DC
ISSN
1097-5659
Print_ISBN
978-1-4244-5811-0
Type
conf
DOI
10.1109/RADAR.2010.5494492
Filename
5494492
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