© The Institution of Engineering and Technology 2017. 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...
AbstractTaking into account the influences of scatterer geometrical shapes on induced currents, an a...
Abstract — This paper introduces a technique for the numerical generation of basis functions that ar...
In this paper we present a new de-embedding algorithm for an efficient evaluation of the S-parameter...
Previous research on the characteristic basis function method (CBFM) has shown that the use of the u...
A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic b...
A numerically efficient method for the evaluation of wide band scattering characteristics is present...
In this paper, scattering and radiation from scalable planar bodies are investigated in a wide frequ...
Abstract—In this paper, a fast method is proposed to calculate wide-band frequency responses of comp...
In this study the authors present a novel technique in the context of the characteristic basis funct...
The singular value decomposition (SVD) enhanced improved ultrawideband characteristic basis function...
We describe a high-order method for computing the monostatic and bistatic radar cross section (RCS) ...
The objective of this paper is to describe a numerically efficient strategy for solving large electr...
AbstractThis article presents a method that uses physical optics (PO) techniques to compute the mono...
Cataloged from PDF version of thesis.Includes bibliographical references (leaves 56-60).Thesis (M.S....
In this paper, a new CS-FMM method that conjugates compressive sensing (CS) with the fast multipole ...
AbstractTaking into account the influences of scatterer geometrical shapes on induced currents, an a...
Abstract — This paper introduces a technique for the numerical generation of basis functions that ar...
In this paper we present a new de-embedding algorithm for an efficient evaluation of the S-parameter...
Previous research on the characteristic basis function method (CBFM) has shown that the use of the u...
A broadband radar cross section (RCS) calculation approach is proposed based on the characteristic b...
A numerically efficient method for the evaluation of wide band scattering characteristics is present...
In this paper, scattering and radiation from scalable planar bodies are investigated in a wide frequ...
Abstract—In this paper, a fast method is proposed to calculate wide-band frequency responses of comp...
In this study the authors present a novel technique in the context of the characteristic basis funct...
The singular value decomposition (SVD) enhanced improved ultrawideband characteristic basis function...
We describe a high-order method for computing the monostatic and bistatic radar cross section (RCS) ...
The objective of this paper is to describe a numerically efficient strategy for solving large electr...
AbstractThis article presents a method that uses physical optics (PO) techniques to compute the mono...
Cataloged from PDF version of thesis.Includes bibliographical references (leaves 56-60).Thesis (M.S....
In this paper, a new CS-FMM method that conjugates compressive sensing (CS) with the fast multipole ...
AbstractTaking into account the influences of scatterer geometrical shapes on induced currents, an a...
Abstract — This paper introduces a technique for the numerical generation of basis functions that ar...
In this paper we present a new de-embedding algorithm for an efficient evaluation of the S-parameter...