DocumentCode :
2285205
Title :
Adaptive sampling approach based on cubic-spline for fast monostatic RCS calculation
Author :
Liu, Z.W. ; Chen, J.Q. ; Chen, R.S.
Author_Institution :
Nanjing Univ. of Sci. & Technol., Nanjing
fYear :
2007
fDate :
16-17 Aug. 2007
Firstpage :
872
Lastpage :
875
Abstract :
An adaptive sampling method is proposed in this paper to efficiently calculate the scattering from electrically large objects. This cubic-spline-based sampling method is developed by combining Hermite model and spline technique to approximate a C1-continous curve through a set of arbitrarily discrete points, which adaptively generated by a coarse-to-fine strategy. Numerical results demonstrate that this method is able to rigorously approximate the result with less computation time when compared to the conventional numerical approximate methods.
Keywords :
electromagnetic wave scattering; sampling methods; splines (mathematics); Hermite model; adaptive sampling approach; arbitrarily discrete points; coarse-to-fine strategy; cubic-spline-based sampling method; monostatic RCS calculation; numerical approximate methods; Antennas and propagation; Electromagnetic scattering; Equations; Interpolation; Microwave antennas; Microwave propagation; Radar scattering; Sampling methods; Testing; Vectors; adaptive sampling (AS); cubic-spline (CS); electromagnetic (EM) scattering; radar cross-section (RCS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4244-1045-3
Electronic_ISBN :
978-1-4244-1045-3
Type :
conf
DOI :
10.1109/MAPE.2007.4393765
Filename :
4393765
Link To Document :
بازگشت