TY - JOUR
T1 - Detection and recognition of the targets by means of use the signal polarization properties
AU - Ponomaryov, Volodymyr I.
AU - Fabi, Ricardo Peralta
AU - Popov, Anatoly V.
AU - Babakov, Mikhail F.
PY - 1999
Y1 - 1999
N2 - The quality of radar target recognition can be enhanced by exploiting its polarization signatures. A specialized X-band polarimetric radar was used for target recognition in experimental investigations. The following polarization on characteristics connected to the object geometrical properties were investigated: the amplitudes of the polarization matrix elements; an anisotropy coefficient; depolarization coefficient; asymmetry coefficient; the energy of a backscattering signal; object shape factor. A large quantity of polarimetric radar data was measured and processed to forma database of different object and different weather conditions. The histograms of polarization signatures were approximated by a Nakagami distribution, then used for real-time target recognition. The Neyman-Pearson criterion was used for the target detection, and the criterion of the maximum of a posterior probability was used for recognition problem. Some results of experimental verification of pattern recognition and detection of objects with different electrophysical and geometrical characteristics urban in clutter are presented in this paper.
AB - The quality of radar target recognition can be enhanced by exploiting its polarization signatures. A specialized X-band polarimetric radar was used for target recognition in experimental investigations. The following polarization on characteristics connected to the object geometrical properties were investigated: the amplitudes of the polarization matrix elements; an anisotropy coefficient; depolarization coefficient; asymmetry coefficient; the energy of a backscattering signal; object shape factor. A large quantity of polarimetric radar data was measured and processed to forma database of different object and different weather conditions. The histograms of polarization signatures were approximated by a Nakagami distribution, then used for real-time target recognition. The Neyman-Pearson criterion was used for the target detection, and the criterion of the maximum of a posterior probability was used for recognition problem. Some results of experimental verification of pattern recognition and detection of objects with different electrophysical and geometrical characteristics urban in clutter are presented in this paper.
UR - http://www.scopus.com/inward/record.url?scp=0032672823&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:0032672823
SN - 0277-786X
VL - 3718
SP - 283
EP - 291
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Proceedings of the 1999 Automatic Target Recognition IX
Y2 - 7 April 1999 through 9 April 1999
ER -