RCS analysis and classification in the Low Frequency domain

This work deals with electromagnetic modeling, RCS analysis and classification in the Low Frequency domain, that is to say for objects whose dimensions are close to the wavelength of the incident wave. More precisely a method for characterizing RADAR signatures using eigenvectors of the scattering matrix is developed. Indeed the spectral decomposition of this operator leads to particular characteristic far fields (or eigenmodes), from which a set of characteristic currents can also be derived. Numerical computations are presented for 3-D objects and the Electrical Field Integral Equation (EFIE), including the first characteristic currents and their analysis in terms of their impact on both the monostatic and the bistatic RCS. Use of these modes in RCS analysis and classification seems to be worth being considered.