Title :
Interpreting ISAR Images by Means of Parseval´s Theorem
Author_Institution :
Melin Radar AB, Linkoping
Abstract :
When interpreting inverse synthetic aperture radar images it is of great value to be able to assign RCS-values to different areas of the image. It is shown that this can be done by means of Parseval´s theorem
Keywords :
radar cross-sections; radar imaging; synthetic aperture radar; ISAR images interpretation; Parseval´s theorem; RCS-values; inverse synthetic aperture radar; radar cross section; Fourier transforms; Frequency measurement; Geometry; Inverse synthetic aperture radar; Radar antennas; Radar cross section; Radar imaging; Radar scattering; Reflectivity; Synthetic aperture radar; Inverse synthetic aperture radar (ISAR); Parseval´s theorem; radar cross section (RCS); radar imaging;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2006.889993