DocumentCode
2136133
Title
Characteristic functions in radar and sonar
Author
Gray, John E. ; Addison, Stephen R.
Author_Institution
Dahlgren Div., Naval Surface Warfare Center, Dahlgren, VA, USA
fYear
2002
fDate
2002
Firstpage
31
Lastpage
35
Abstract
We often encounter problems that involve either nonlinear or multi-dimensional combinations of random variables. One would like to be able to determine the probability density function of these combinations. The individual components that contribute to the combination are assumed known, but the combination is not known. Computations to determine this combined PDF axe tedious and difficult to accomplish in most cases. We propose a simpler means to bypass many of these difficulties. By using Fourier analysis and application of the definition of the Dirac delta function, the proper form the combined PDF is obtained with considerable simplification. The motivation for this is engineering applications that occur frequently in radar applications that involve combinations of probability density functions.
Keywords
Fourier analysis; integral equations; probability; radar signal processing; radar theory; random functions; sonar signal processing; Dirac delta function; Fourier analysis; PDF; change of variables; characteristic functions; multi-dimensional combinations; nonlinear combinations; probability density function; radar applications; random variables; sonar; Astronomy; Books; Density functional theory; Independent component analysis; Physics; Probability density function; Radar applications; Random variables; Sonar;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
ISSN
0094-2898
Print_ISBN
0-7803-7339-1
Type
conf
DOI
10.1109/SSST.2002.1026999
Filename
1026999
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