DocumentCode
2996420
Title
Robust CFAR detection in clutter with unknown covariance matrix
Author
Golikov, Victor ; Lebedeva, Olga ; Castillejos, Andres
Author_Institution
Univ. Autonoma del Carmen
fYear
2005
fDate
13-13 Dec. 2005
Firstpage
201
Lastpage
204
Abstract
We conduct a simulation analysis for assessing the constant false alarm rate (CFAR) behavior of three coherent radar detectors in the presence of correlated Gaussian clutter with unknown covariance. We establish the conditions a detector must fulfil in order to ensure the CFAR property. We discuss several detectors with quasi CFAR property. The analysis of CFAR property and the performance analysis, which has been carried out in the presence of correlated Gaussian clutter with unknown covariance, show that the proposed detectors exhibit a quite acceptable loss with respect to optimum Neyman-Pearson detector
Keywords
Gaussian processes; covariance matrices; radar clutter; radar detection; Neyman-Pearson detector; constant false alarm rate; correlated Gaussian clutter; covariance matrix; radar detectors; Clutter; Covariance matrix; Detectors; Energy measurement; Matched filters; Noise measurement; Radar detection; Robustness; Signal detection; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Conference_Location
Puerto Vallarta
Print_ISBN
0-7803-9322-8
Type
conf
DOI
10.1109/CAMAP.2005.1574219
Filename
1574219
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