Abstract :
Analysis of radar scattering from targets with curved boundaries, such as objects comprising cylindrical and conical shapes, is important to many aerospace applications. The radar return is composed of a well-characterized physical optics response in the illuminated region where the transmitter and receiver are not shadowed by the object, and a combination of modal responses (e.g., creeping waves and edge-diffracted fields) in the shadow region. The modal responses have longer down-range than scattering centers located on the object, and therefore, produce extended (or off-body) returns in ISAR images, which are not well-understood. However, these returns are strongly dependent on local features of the object, and thus contain valuable information with regard to the target´s geometrical and physical composition. Multiple reflections from illuminated facets, as well as multiply diffracted waves, can also add coherently in the direction of the receiver and produce such returns. This paper applies a robust, coherent-processing system identification technique, originally developed for radar sensor fusion, to estimate amplitude and phase of the scatterers that characterize extended returns in the target signature. Examples are presented that highlight the extraction of creeping waves using measured data on a cone-sphere.
Keywords :
electromagnetic wave scattering; physical optics; radar imaging; radar receivers; radar tracking; radar transmitters; state-space methods; synthetic aperture radar; ISAR; coherent-processing system identification technique; extended radar return; inverse synthetic aperture radar imaging; modal response; physical optics response; radar scattering analysis; radar sensor fusion; radar target signature; radar transmitter/receiver; robust state space model; Optical receivers; Optical reflection; Optical scattering; Optical transmitters; Physical optics; Radar scattering; Robustness; Shape; Spaceborne radar; State-space methods; Creeping waves; electromagnetic scattering; inverse synthetic aperture radar (ISAR) imaging; radar cross section; spectral estimation; state space methods;