Reduction of RCS Samples Using the Cubed Sphere Sampling Scheme
(English)Manuscript (preprint) (Other academic)
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 ever the entire domain. For the bistatic data, it was possible to reduce the number of samples by approximately 45% for high sampling resolutions. Using spline interpolation the number of samples required could be reduced even further.
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject Electrical Engineering
IdentifiersURN: urn:nbn:se:kth:diva-185209OAI: oai:DiVA.org:kth-185209DiVA: diva2:919262
QS 20162016-04-132016-04-132016-04-18Bibliographically approved