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
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;
Conference_Titel :
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
Print_ISBN :
0-7803-7339-1
DOI :
10.1109/SSST.2002.1026999