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Fast Mom Analysis Of A Broad Frequency-band And Wide Observation-angle Radar Cross Section

Posted on:2013-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:H J HuangFull Text:PDF
GTID:2248330395957010Subject:Electromagnetic field and microwave technology
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Electromagnetic stealth and anti-stealth are one of the key technologies in the modernization national defense construction of our army. And rapid analysis of radar cross section (RCS) is very important for electromagnetic stealth and anti-stealth. The main work of this paper aims at the fast MoM analysis of broad frequency-band and wide observation-angle RCS. First of all, three-dimensional Chebyshev polynomial technique which can fast compute the broad frequency-band and wide observation-angle monostatic RCS is proposed in this paper. The correctness and effectiveness of the algorithm has been verified by some numerical examples. However, for same number of sampling points, results calculated by the Maehly polynomial technique are more accurate than those solved by the Chebyshev polynomial technique. Hence, a technique consisting of two-dimensional Maehly polynomial combined with the rational fraction is proposed to fast calculate broad frequency-band or wide observation-angle monostatic RCS. The rational fraction technology with an equispace sampling method is used to rapidly solve a broad frequency-band monostatic RCS, while the two-dimensional Maehly polynomial technology with a Chebyshev sampling method is used to simulate a wide observation-angle monostatic RCS. The correctness and effectiveness of the algorithm has been verified by some numerical examples. Generally, the used equispace and Chebyshev sampling points are not optimal in above algorithms. With the increase of the sampling orders, the calculation results can’t quickly satisfy the required precision. Therefore, an adaptive sampling method based on the ideal sampling points is proposed. The method can automatically search for the ideal sampling points by using prior validated point as a new sampling point, avoiding the repeated calculations of the monostatic RCS of the entire frequency band so that the required calculation time is decreased. The numerical examples show the good performance of the proposed method. Finally, on the basis of two-dimensional Maehly polynomial technique, this paper develops a3D Maehly polynomial technique. The algorithm can fast realize the monostatic RCS of a broad frequency-band and wide observation-angle. The correctness and effectiveness of the algorithm has been verified by some numerical examples.
Keywords/Search Tags:Maehly, Chebyshev, Rational function, Monostatic, RCSAdaptive sampling algorithm
PDF Full Text Request
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