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
Link To Document :
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