DocumentCode :
3591167
Title :
Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios
Author :
Sinitsyn, Rustem B. ; Bokal, Zhanna M. ; Kolchenko, Lilia V.
Author_Institution :
Electron. Dept., Nat. Aviation Univ., Kiev, Ukraine
fYear :
2010
Firstpage :
260
Lastpage :
263
Abstract :
This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems.
Keywords :
nonparametric statistics; radar detection; radar signal processing; nonparametric statistics; permutation statistics; radar signal detection; signal partial likelihood ratio; Algorithm design and analysis; Density functional theory; Kernel; Noise; Radar detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (EuRAD), 2010 European
Print_ISBN :
978-1-4244-7234-5
Type :
conf
Filename :
5614911
Link To Document :
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