TY - GEN
T1 - Space object identification based on narrowband radar cross section
AU - Wang, Cai
AU - Fu, Xiongjun
AU - Zhang, Qian
AU - Jiao, Long
AU - Gao, Meiguo
PY - 2012
Y1 - 2012
N2 - A space object identification method based on narrowband radar cross section (RCS) is proposed in this paper. With RCS sequences, statistical features are extracted, the two-dimensional sizes of the object are estimated by adopting an improved size estimation model (SEM) and the attitude stability of the object is determined by periodicity analysis. Feature templates are constructed in matrix form with those three kinds of features of the training sample set and especially when constructing the template for a large number of statistical features, dynamic fuzzy clustering technology is used. The k-nearest neighbor fuzzy classifier is adopted to accomplish the identification. At the end, experiments with the measured data are conducted to confirm the effectiveness of the method.
AB - A space object identification method based on narrowband radar cross section (RCS) is proposed in this paper. With RCS sequences, statistical features are extracted, the two-dimensional sizes of the object are estimated by adopting an improved size estimation model (SEM) and the attitude stability of the object is determined by periodicity analysis. Feature templates are constructed in matrix form with those three kinds of features of the training sample set and especially when constructing the template for a large number of statistical features, dynamic fuzzy clustering technology is used. The k-nearest neighbor fuzzy classifier is adopted to accomplish the identification. At the end, experiments with the measured data are conducted to confirm the effectiveness of the method.
KW - dynamic fuzzy clustering
KW - feature extraction
KW - k-nearest neighbor fuzzy classifier
KW - radar cross section
KW - space object identification
UR - http://www.scopus.com/inward/record.url?scp=84875045182&partnerID=8YFLogxK
U2 - 10.1109/CISP.2012.6469825
DO - 10.1109/CISP.2012.6469825
M3 - Conference contribution
AN - SCOPUS:84875045182
SN - 9781467309622
T3 - 2012 5th International Congress on Image and Signal Processing, CISP 2012
SP - 1653
EP - 1657
BT - 2012 5th International Congress on Image and Signal Processing, CISP 2012
T2 - 2012 5th International Congress on Image and Signal Processing, CISP 2012
Y2 - 16 October 2012 through 18 October 2012
ER -