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Performance analysis of maximum likelihood CFAR detection for Gaussian mixture type clutter

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4 Author(s)
Sari, F. ; C2Tech, Gebze ; Sari, N. ; Celebi, M.E. ; Kayran, A.H.

In a previous work, we have proposed to use a generalized Gaussian Mixture (GM) distribution for modelling the sea clutter. In this work, we analyze the performance of the proposed method for the CFAR and non-CFAR cases. In order to evaluate the performance of the proposed method, we derive the probability of false alarm Pfa. The Cramer Rao Bound (CRB), which is used to predict the performance of a given system is also given.

Published in:
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on

Date of Conference: 12-15 Feb. 2007

Page(s):
1 - 4
E-ISBN :
978-1-4244-1779-8
Print ISBN:
978-1-4244-0778-1
INSPEC Accession Number:
10071833
Conference Location :
Sharjah
Digital Object Identifier :
10.1109/ISSPA.2007.4555566
Product Type:
Conference Publications

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