研究目的
To mitigate the problem of excessive computational complexity at lower frequency points when using the improved ultra-wide band characteristic basis function method (IUCBFM) for analyzing wide-band scattering problems.
研究成果
The AIUCBFM effectively reduces the computational complexity at lower frequency points by adaptively dividing the frequency band and using a smaller number of IUCBFs. The method maintains accuracy while significantly improving efficiency, as demonstrated by numerical results on PEC objects.
研究不足
The study focuses on perfectly electric conducting objects and may require further validation for other materials. The computational efficiency gains are dependent on the adaptive division of the frequency band, which may vary with different objects and frequency ranges.
1:Experimental Design and Method Selection:
The study employs the adaptive improved ultra-wide band characteristic basis function method (AIUCBFM) to analyze wide-band scattering problems. The method involves dividing the given frequency band into multiple sub-bands adaptively, considering the number of IUCBFs.
2:Sample Selection and Data Sources:
Numerical simulations are performed on perfectly electric conducting (PEC) objects including a plate, a sphere, and a cube.
3:List of Experimental Equipment and Materials:
A personal computer with an Intel(R) Pentium(R) G2030 CPU with
4:0 GHz and 4 GB RAM is used for simulations. Experimental Procedures and Operational Workflow:
The geometry of each object is divided into blocks, and IUCBFs are constructed at the highest frequency point in each sub-band. The wide-band RCS is calculated using these IUCBFs.
5:Data Analysis Methods:
The accuracy and efficiency of the AIUCBFM are compared with the conventional IUCBFM through numerical results.
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