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
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