DocumentCode :
3170645
Title :
Fast Signal Processing Algorithms for Noise Radars
Author :
Sinitsyn, R.B. ; Beletsky, A.J.
Author_Institution :
Dept. of Electron., Nat. Aviation Univ., Kiev
fYear :
2006
fDate :
13-15 Sept. 2006
Firstpage :
245
Lastpage :
248
Abstract :
The paper presents new systems of orthogonal basic functions for fast signal processing algorithms, which can be used in different types of radars. The functional systems suggested allow us to use fast Fourier transform for calculating the convolution and the correlation function. The results were tested with the help of Monte-Carlo simulation as well as the physical radar model
Keywords :
Monte Carlo methods; convolution; correlation methods; fast Fourier transforms; radar signal processing; Monte-Carlo simulation; convolution; correlation function; fast Fourier transform; noise radar; orthogonal basic functions; physical radar model; signal processing algorithm; Acoustic noise; Convolution; Fast Fourier transforms; Frequency; Noise measurement; Radar detection; Radar imaging; Radar measurements; Radar signal processing; Signal processing algorithms; Fourier transforms; Noise; Walsh analysis; correlation; radar detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2006. EuRAD 2006. 3rd European
Conference_Location :
Manchester
Print_ISBN :
2-9600551-7-9
Type :
conf
DOI :
10.1109/EURAD.2006.280320
Filename :
4058304
Link To Document :
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