Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method

Nie, Wenfeng; Wang, Zhonggen

doi:10.1155/2016/6367205

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…In ref. [14], the SVD technology is applied to enhance the computation efficiency of UCBFs. The polynomial interpolation technology combined with UCBFM is also presented in one of the relevant studies, to accelerate the reduced matrix construction 15 .…”

Section: Introductionmentioning

confidence: 99%

Fast analysis of wideband scattering problems using universal characteristic mode basis functions

Wang

Sun

et al. 2022

Micro & Optical Tech Letters

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The ultra‐wideband characteristic basis function method (UCBFM) is known as an effective technique for analyzing the wideband scattering problems, where the ultra‐wideband characteristic basis functions (UCBFs) can be reused for any sampling frequency in the range of interest. However, these UCBFs need to be constructed via an external excitation source, and the number of UCBFs is generally large for the increasing size of target, which leads to an increased size of the reduced matrix. To mitigate these problems, a universal characteristic mode basis function method (UCMBFM) is proposed in this study. Unlike the existing UCBFM, the construction of universal characteristic mode basis functions (UCMBFs) proposed in this study are only dependent on the impedance matrix, which is essentially determined by the material and shape of objects. Therefore, these UCMBFs are independent of frequency and can be reused at lower frequency band. Moreover, in proposed scheme, the number of UCMBFs and the size of reduced matrix are both less, when compared to traditional UCBFM. Finally, the corresponding numerical results demonstrate that efficiency and accuracy can be achieved by the proposed method.

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Section: Introductionmentioning

confidence: 99%

Fast analysis of wideband scattering problems using universal characteristic mode basis functions

Wang

Sun

et al. 2022

Micro & Optical Tech Letters

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“…In [22], the unnecessary UCBFs are removed from the basis set as the frequency is decreased. In [23], a singular value decomposition (SVD) enhanced IUCBFM (SVD-IUCBFM) is proposed to reduce the number of matrix equation solutions. These methods have advantages of higher accuracy at lower frequency points and lower computational complexity in lower frequency bands.…”

Section: Introductionmentioning

confidence: 99%

Solution of Wideband Scattering Problems Using Hierarchical Ultra-Wideband Characteristic Basis Functions

Nie¹,

Wang²

2019

PIER M

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In this paper, a hierarchical ultra-wideband characteristic basis function method (HUCBFM) is presented for high-precision analysis of wideband scattering problems. Unlike existing improved ultra-wideband characteristics basis function method (IUCBFM), HUCBFM reduces the number of characteristic basis functions (CBFs) necessary to express a current distribution. This reduction is achieved by combining primary CBFs (PCBFs) with the secondary level CBFs (SCBFs) to form a single hierarchical ultra-wideband characteristic basis function (HUCBF). As HUCBF incorporates the effects of PCBFs and SCBFs, the accuracy does not change significantly compared to that obtained by IUCBFM. Furthermore, the efficiencies of constructing the CBFs and filling the reduced matrix are improved. Numerical examples verify and demonstrate that the proposed method is credible both in terms of accuracy and efficiency.

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“…Although the MoM is a well-known full-wave method which is capable of predicting the RCS of arbitrary conducting objects, the method itself is very computationally expensive and sometimes not possible for electrically large structures. Thus, a characteristic basis function method (CBFM) [5][6][7] is applied to in-house MoM code, while a multilevel fast multipole algorithm (MLFMA) [8] which is built in the commercial software [9] is utilized. Monostatic RCS of the low observable aircraft in VHF is calculated, and the change of RCS depending on the direction and the polarization of the incident wave is analyzed.…”

Section: Introductionmentioning

confidence: 99%

Analysis of RCS of Low Observable Aircraft in VHF Band

Jeong

Park

et al. 2018

International Journal of Antennas and Propagation

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Electromagnetic signatures of a low observable aircraft have been studied in VHF band. First of all, a three-dimensional model of the aircraft has been established for numerical computation. Then, monostatic and bistatic radar cross sections (RCS) have been calculated. The model of the aircraft is made by a curved surface, and commercial as well as in-house three-dimensional electromagnetic code which is based on the method of moments (MoM) is utilized to calculate the RCS. A characteristic basis function method (CBFM) and a multilevel fast multipole algorithm (MLFMA) have been applied to analyze electrically large objects. The change of the monostatic RCS is very large depending on the direction of the incident wave. The maximum value is about 42 dBsm at the top and bottom of the aircraft, and the minimum value is about −10 dBsm at the front and back of the aircraft. It is found that the bistatic RCS also changes dramatically depending on the direction of the incident wave. The direction of maximum RCS occurs around specular reflection, and the value of maximum RCS ranges from 27 dBsm to 43 dBsm. On the other hand, the direction of the minimum RCS occurs irregularly, and the value is in the level of −30 dBsm.

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Efficient Computation of Wideband RCS Using Singular Value Decomposition Enhanced Improved Ultrawideband Characteristic Basis Function Method

Cited by 6 publications

References 14 publications

Fast analysis of wideband scattering problems using universal characteristic mode basis functions

Fast analysis of wideband scattering problems using universal characteristic mode basis functions

Solution of Wideband Scattering Problems Using Hierarchical Ultra-Wideband Characteristic Basis Functions

Analysis of RCS of Low Observable Aircraft in VHF Band

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