DocumentCode :
3388930
Title :
Kernel estimates of the characteristic function for radar signal detection
Author :
Sinitsyn, R.B. ; Yanovsky, F.J.
Author_Institution :
Dept. of Electron., Nat. Aviation Univ., Kiev
fYear :
2005
fDate :
6-7 Oct. 2005
Firstpage :
53
Lastpage :
56
Abstract :
The paper presents a new approach to synthesis of nonparametric algorithms, which can be used in different types of radars. Nonparametric algorithms of radar signal detection, using kernel estimates of characteristic function, were developed and tested for detecting different types of radar signals. The results were tested with the help of Monte-Carlo simulation as well as the physical radar model
Keywords :
Monte Carlo methods; radar detection; Monte-Carlo simulation; kernel estimates; nonparametric algorithms; radar signal detection; Fast Fourier transforms; Fourier transforms; Kernel; Navigation; Probability density function; Radar detection; Signal detection; Signal processing algorithms; Signal synthesis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2005. EURAD 2005. European
Conference_Location :
Paris
Print_ISBN :
2-9600551-3-6
Type :
conf
DOI :
10.1109/EURAD.2005.1605562
Filename :
1605562
Link To Document :
بازگشت