Title :
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
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;
Conference_Titel :
Mathematical Methods in Electromagnetic Theory, 2002. MMET '02. 2002 International Conference on
Conference_Location :
Kiev, Ukraine
Print_ISBN :
0-7803-7391-X
DOI :
10.1109/MMET.2002.1106884
