DocumentCode
1510900
Title
Method for predicting the maximum reliable angle to use in the monostatic-to-bistatic equivalence theorem
Author
Wilson, Kelce S.
Author_Institution
AFRL/SNAS, Wright-Patterson AFB, OH
Volume
43
Issue
3
fYear
2001
fDate
6/1/2001 12:00:00 AM
Firstpage
108
Lastpage
111
Abstract
A metric is proposed that allows reliable prediction of the maximum bistatic angle for which the monostatic-to-bistatic equivalence theorem (MBET) can be used. Currently, the theorem leaves the term “sufficiently smooth” undefined, making selection of the maximum angle somewhat subjective. The proposed metric provides a quantitative evaluation of complexity/smoothness, and relates this to an angle limit based on an empirically derived statistical error profile. That is, the metric allows prediction of the maximum bistatic angle for which the MBET provides less than a 1.5 dB error at a confidence level of 95%. Although the metric is presently only demonstrated for two-dimensional (2D) objects at a single polarization and error value, sufficient experiments following the same process can easily extend the method to three-dimensional objects, arbitrary polarizations, and alternate error tolerances. Such a capability allows for optimization of either monostatic collections used for prediction of bistatic data sets, or bistatic computations interpolated to monostatic results
Keywords
electric field integral equations; method of moments; optimisation; radar cross-sections; radar polarimetry; MBET; RCS; angle limit; bistatic computations; complexity; computational electromagnetics; error tolerance; maximum bistatic angle; maximum reliable angle; monostatic collections; monostatic-to-bistatic equivalence theorem; polarization; radar cross section; smoothness; statistical error profile; three-dimensional objects; two-dimensional objects; Computational electromagnetics; Electromagnetic scattering; Electromagnetic wave polarization; Interpolation; Radar antennas; Radar cross section; Radar measurements; Radar scattering; Radar theory; Reliability theory;
fLanguage
English
Journal_Title
Antennas and Propagation Magazine, IEEE
Publisher
ieee
ISSN
1045-9243
Type
jour
DOI
10.1109/74.934908
Filename
934908
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