Efficient technique for broadband monostatic RCS using the characteristic basis function method with polynomial interpolation

• Published in: Electronics letters Vol. 53; no. 14; pp. 956 - 958
• Main Authors: Chen, Xinlei, Fei, Chao, Gu, Changqing, Mittra, Raj
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 06.07.2017
• Subjects: broadband monostatic radar cross‐section; broadband monostatic RCS; CBFM; characteristic basis function method; interpolation; interpolation method; matrix algebra; polynomial interpolation; radar cross‐sections; Radar, sonar and navigation; interpolation; broadband monostatic RCS; broadband monostatic radar cross-section; radar cross-sections; polynomial interpolation; interpolation method; CBFM; characteristic basis function method; matrix algebra
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2017.1016

Previous research on the characteristic basis function method (CBFM) has shown that the use of the ultra-wide band CBFM can efficiently solve the problem of computing the broadband monostatic radar cross-section (RCS) of a target by reducing the size of the associated impedance matrix and avoiding the repeated generation of the macro base functions. However, it is still necessary to repeatedly construct the reduced matrix at each frequency in the analysed frequency band, and an interpolation method is proposed to address this problem. It is shown that it is only needed to generate and store the reduced matrices at four frequency samples to cover the entire frequency band, and efficiently derive the reduced matrices at other frequencies via simple interpolation. Numerical results are given to demonstrate the accuracy and efficiency of the proposed method.