Low frequency radar scattering data is used for the identification of aircraft. It is shown that such radar data lies on two dimensional surfaces in n-space. A bilinear approximation for these surfaces is described. The approximation is utilized to construct a modified nearest neighbor algorithm which is evaluated by computer simulation experiments. These experiments showed a phenomenon of 'bias' where an aircraft data surface is more susceptible to misclassification in the presence of noise than the surface corresponding to another aircraft. This 'bias' observed is shown to be related to the surface characteristics of the data surfaces involved, specifically proximity and relative curvature of corresponding points on the two surfaces.
Aircraft identification using a bilinear surface representation of radar data
Flugzeugidentifizierung mit Hilfe einer bilinearen Oberflaechendarstellung von Radardaten
Pattern Recognition ; 6 , 1 ; 35-45
1974
, 10 Quellen
Aufsatz (Zeitschrift)
Englisch
Aircraft identification using a bilinear surface representation of radar data
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