DocumentCode :
3461995
Title :
Bayesian Theory of the "Pareto-optimal" CFAR Detectors
Author :
Shirman, Y.D. ; Orlenko, V.M.
Author_Institution :
Kharkov Univ. of Air Forces, Kharkov
fYear :
2006
fDate :
24-26 May 2006
Firstpage :
1
Lastpage :
4
Abstract :
The method for optimizing adaptive CFAR detectors is proposed on the basis of using the a priory information about the interference variance. Possible applications of the method proposed are discussed.
Keywords :
Bayes methods; Pareto distribution; radar detection; Bayesian theory; CFAR detectors; interference variance; Bayesian methods; Detectors; Equations; Interference; Optimization methods; Probability; Radar detection; Radar tracking; Statistical distributions; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium, 2006. IRS 2006. International
Conference_Location :
Krakow
Print_ISBN :
978-83-7207-621-2
Type :
conf
DOI :
10.1109/IRS.2006.4338006
Filename :
4338006
Link To Document :
بازگشت