A Hybrid Approach for Rapid Computation of Monostatic Radar Cross Section Problems with Characteristic Basis Function Method and Singular Value Decomposition
Keywords:
Characteristic basis function method, characteristic basis functions, radar cross section, singular value decompositionAbstract
Characteristic basis function method (CBFM) is one of the effective methods to analyze wide-angle electromagnetic scattering characteristics of objects. In the general CBFM, a mass of plane waves is required to construct the characteristic basis function (CBFs) for a large-scale target resulting in a large number of CBFs. Furthermore, the accuracy cannot be further enhanced via general method by increasing the number of incident plane waves to obtain adequate CBFs. In order to alleviate these problems, a hybrid approach is proposed for fast computation of monostatic radar cross section of objects. The proposed method applies the singular value decomposition to compress the excitation matrix and introduces a new method to construct the CBFs considering the mutual interaction among blocks. Under such circumstances, the number of matrix equation solutions and the number of CBFs are both significantly reduced. Thus, the time of constructing CBFs and the complexity of reduced matrix both are reduced. Numerical examples verify and demonstrate that the proposed method is credible both in terms of accuracy and efficiency.
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