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2016-05-14

Reduction of RCS Samples Using the Cubed Sphere Sampling Scheme

By Bjorn Vilhelm Persson and Martin Norsell
Progress In Electromagnetics Research M, Vol. 48, 103-112, 2016
doi:10.2528/PIERM16022503

Abstract

An alternative to the traditional method of sampling radar cross section data from measurements or electromagnetic code is presented and evaluated. The Cubed Sphere sampling scheme solves the problem of oversampling at high and low elevation angles and at equal equatorial resolution the scheme can reduce the number of samples required by approximately 25%. The analysis is made of an aircraft model with a monostatic radar cross section at C-band and a bistatic radar cross section at VHF-band, using Physical Optics and the Multilevel Fast Multipole Method, respectively. It was found that for the monostatic radar cross section, the Cubed Sphere sampling scheme required approximately 12% fewer samples compared to that required for traditional sampling while maintaining the same interpolation accuracy over the entire domain. For the bistatic data, it was possible to reduce the number of samples by approximately 35% for high sampling resolutions. Using spline interpolation the number of samples required could be reduced even further.

Citation


Bjorn Vilhelm Persson and Martin Norsell, "Reduction of RCS Samples Using the Cubed Sphere Sampling Scheme," Progress In Electromagnetics Research M, Vol. 48, 103-112, 2016.
doi:10.2528/PIERM16022503
http://www.jpier.org/PIERM/pier.php?paper=16022503

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