Fractal Features of Specific Emitter Identification

This article presents the issues connected with emitter sources identication with low distinctive primary features of a signal. It is a specic type of identication called specic emitter identication, which distinguishes dierent copies of the same type of emitter. The term of specic emitter identication was presented on the basis of fractal features received from the transformation of measurement data sets. The use of linear regression and Lagrange polynomial interpolation resulted in the estimation of measurement function. The method analysing properties of measurement function which was suggested by the authors caused the extraction of two additional distinctive features. The features above extended the vector of basic radar signals' parameters. The extended vector of radar signals' features made it possible to identify the copy of emitter source.