DocumentCode
5293
Title
On Modeling RCS of Aircraft for Flight Simulation
Author
Persson, B. ; Norsell, M.
Author_Institution
Dept. of Mil. Studies, Swedish Nat. Defence Coll., Stockholm, Sweden
Volume
56
Issue
4
fYear
2014
fDate
Aug. 2014
Firstpage
34
Lastpage
43
Abstract
This paper investigates the implementation of the radar cross section (RCS) of aircraft in modeling and simulation (M&S). More specifically, it addresses the tradeoff between accuracy and computational cost introduced by spatial RCS fluctuations. High-resolution RCS matrices, generated using Physical Optics (PO), were used in an investigation of RCS matrix resolution, and an evaluation of different bilinear interpolation methods is presented. The spatial Fourier transform was used for resolution analysis. It was found that the smallest RCS interpolation error was obtained using splines. Furthermore, results showed that the distribution of the relative interpolation error in detection range was well approximated by a log-normal distribution.
Keywords
Fourier transforms; aerospace simulation; airborne radar; approximation theory; interpolation; log normal distribution; matrix algebra; physical optics; radar cross-sections; radar detection; splines (mathematics); M&S; RCS matrix resolution; aircraft RCS modeling; bilinear interpolation method; detection range approximation; flight simulation; log normal distribution; modeling and simulation; physical optics; radar cross section; relative RCS interpolation error distribution; spatial Fourier transform; spatial RCS fluctuations; splines; Aircraft navigation; Atmospheric modeling; Computational modeling; Interpolation; MATLAB; Mathematical model; Radar cross-sections; Spatial resolution; Electromagnetic modeling; aerospace simulation; computer simulation; interpolation; modeling and simulation; radar cross sections; radar detection;
fLanguage
English
Journal_Title
Antennas and Propagation Magazine, IEEE
Publisher
ieee
ISSN
1045-9243
Type
jour
DOI
10.1109/MAP.2014.6931656
Filename
6931656
Link To Document