Title :
Ultra wideband radar target discrimination using the signatures algorithm
Author :
Baev, Andrey ; Kuznetsova, Y. ; Aleksandrov, Andrey
Author_Institution :
Theor. Radioelectron. Dept., Moscow Aviation Inst., Russia
Abstract :
An aspect independent radar target discrimination method based on the natural frequencies of ultra wideband radar targets is introduced. The sets of points in multi-dimension space corresponding to the poles on a complex plane (natural resonances) were offered as signatures of radar targets. This approach allows performing an automated discrimination algorithm of radar targets. The results of experimental research of the signals scattered by the scaled aircraft models by using the signatures algorithm are presented.
Keywords :
radar tracking; target tracking; complex plane; multidimension space; natural resonances; scaled aircraft models; signatures algorithm; ultra wideband radar target discrimination; Additive noise; Aircraft; Electromagnetic scattering; Frequency; Radar scattering; Resonance; Shape; Space technology; Spaceborne radar; Ultra wideband radar;
Conference_Titel :
Microwave Conference, 2003. 33rd European
Print_ISBN :
1-58053-834-7
DOI :
10.1109/EUMC.2003.1262818