Title :
Estimation of the covariance matrix for adaptive CFAR detection in compound-Gaussian clutter
Author :
Conte, E. ; De Maio, A. ; Ricci, Giuseppe
Author_Institution :
Univ. di Napoli Federico II, Italy
Abstract :
We deal with the estimation of the structure of the covariance matrix of the noise and its application to adaptive radar detection of coherent pulse trains in compound-Gaussian clutter. Resorting to secondary data, free of signal components, we propose an estimator which, plugged into the NMF in place of the actual covariance matrix, leads to an adaptive detector CFAR with respect to the statistics of the noise
Keywords :
Gaussian processes; adaptive signal detection; covariance matrices; parameter estimation; radar clutter; radar detection; adaptive CFAR detection; adaptive radar detection; coherent pulse trains; compound-Gaussian clutter; covariance matrix estimation; generalized likelihood ratio test; noise covariance matrix; noise statistics; secondary data; system design; Adaptive signal detection; Covariance matrix; Design optimization; Detectors; Radar clutter; Radar detection; Statistical analysis; Statistical distributions; Statistics; Testing;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866374
