Nonparametric algorithm for a detection of random process disorder in the signals of radar remote sensing

Author

Prokopenko, I. ; Prokopenko, K.

Author_Institution

Nat. Aviation Univ., Kiev, Ukraine

Volume

1

fYear

2002

fDate

10-13 Sept. 2002

Firstpage

278

Abstract

A new nonparametric algorithm of radar signal disorder detection is considered. The algorithm is based on spectral estimation of a few signal samples of some close windows and application of a nonparametric Wilkockson´s test to compare them. The algorithm can be used for radar signal detection specifically in the tasks of turbulence detection in clouds and precipitation as well as for moving target detection. The efficiency of the new algorithm is analyzed.

Keywords

atmospheric precipitation; clouds; meteorological radar; nonparametric statistics; radar detection; radar signal processing; radar target recognition; random processes; remote sensing by radar; clouds; moving target detection; nonparametric Wilkockson test; nonparametric algorithm; precipitation; radar remote sensing; radar signal detection; radar signal disorder detection; random process disorder; spectral estimation; turbulence detection; Change detection algorithms; Probability; Radar cross section; Radar detection; Radar remote sensing; Radar signal processing; Random processes; Signal analysis; Signal processing; Signal synthesis;

fLanguage

English

Publisher

ieee

Conference_Titel

Mathematical Methods in Electromagnetic Theory, 2002. MMET '02. 2002 International Conference on

Conference_Location

Kiev, Ukraine

Print_ISBN

0-7803-7391-X

Type

conf

DOI

10.1109/MMET.2002.1106884

Filename

1106884