Generation of wide-band data from the method of moments by interpolating the impedance matrix (EM problems)

Newman, E. H.

doi:10.1109/8.14404

Cited by 140 publications

(67 citation statements)

References 6 publications

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“…Therefore, to keep f /f 0 sufficiently small is the other necessary condition to justify the quadratic approximation. From our observations, as f /f 0 < 1/3, contributions of high-order terms in (16) becomes negligible, which suggests that the dominant response remains in a quadratic form. Therefore, besides f < f max , f should satisfy the other condition that f /f 0 < 1/3.…”

Section: Quadratic Approximation Of Z(s)mentioning

confidence: 60%

“…Quadratic function can approximate e −jk r to certain bandwidth but is subject to a constraint [16]. If the quadratic approximation is made within the band [f 0 − f, f 0 + f ] that is centered at f 0 and has a symmetrical span of 2 f , one should make sure that the phase change introduced by f is strictly less than π in the whole antenna scale [16]. In other words, a necessary condition is that kR max ≤ π where k is the wavenumber step.…”

Section: Quadratic Approximation Of Z(s)mentioning

confidence: 99%

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An Automatic Model Order Reduction of a Uwb Antenna System

Zhang

Lee²

2010

PIER

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Abstract-This paper proposes an efficient and automatic means of achieving a reduced model of a transfer function for UWB antenna design. According to the formulation of a transfer function, we have derived two factors, which are critical in determining the radiation pattern and input impedance respectively. Their special formula allow us to establish a reduced model automatically using the Model Order Reduction (MOR) techniques of a second order system. The process is free of any human factors and suitable to any antenna systems, thus enabling a direct and efficient interface with the optimization process in the design of a UWB antenna system. In addition, the proposed way of establishing a transfer function of the whole antenna system has successfully cascaded the entire system into separate subsystems, thus offering deeper insights in analyzing a UWB antenna system.

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Section: Quadratic Approximation Of Z(s)mentioning

confidence: 60%

Section: Quadratic Approximation Of Z(s)mentioning

confidence: 99%

An Automatic Model Order Reduction of a Uwb Antenna System

Zhang

Lee²

2010

PIER

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show abstract

“…Consequently, it is better to frequency interpolate them rather than trying to interpolate the responses. The concept of the impedance matrix interpolation was proposed in [20]. The approach is further extended in [21].…”

Section: Introductionmentioning

confidence: 99%

Neural Frequency Sweeper for Accelerating S-Parameters Calculation of Planar Microwave Structures

Soliman¹,

Ibrahim²

2008

PIER M

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Abstract-This paper presents a new frequency-sweep approach for the efficient calculation of S-parameters of planar microwave structures. The approach is based on approximating the frequency dependence of the real and imaginary parts of the S-parameters using neural networks. Due to its superior performance, radial basis functions neural network (RBF-NN) is adopted. A limited number of frequency samples are used to train the RBF-NN. Then, the trained RBF-NN is capable of providing a smooth frequency response with very high accuracy in a fraction of a second. The proposed method is applied to a number of planar microwave structures such as: Patch antenna with an inset feed, band-rejection filter, and branch-line coupler. According to the presented results, a speed factor of at least 10 is measured, and a maximum percentage error of 3.29% is recorded.

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“…Recently, several techniques have been proposed to alleviate this problem. In [2], the impedance matrix is computed at relatively large frequency intervals and then interpolated to approximate its values. In [3], model-based parameter estimation based on rational function approximation is used to reduce the number of frequency points in which solutions or samples are required in broadband RCS calculation.…”

Section: Introductionmentioning

confidence: 99%

Solution for Wide Band Scattering Problems by Using the Improved Ultra-Wide Band Characteristic Basis Function Method

Nie¹,

Wang²

2016

PIER Letters

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Abstract-The ultra-wide band characteristic basis function method (UCBFM) is an efficient approach for analyzing wide band scattering problems because ultra-wide characteristic basis functions (UCBFs) can be reused for any frequency sample in the range of interest. However, the errors of the radar cross section calculated by using the UCBFs are usually large at low frequency points. To mitigate this problem, an improved UCBFM is presented. Improved UCBFs (IUCBFs) are derived from primary characteristic basis functions and secondary level characteristic basis functions (SCBFs) by applying a singular value decomposition procedure at the highest frequency point. This method fully considers the mutual coupling effects among sub-blocks to obtain the SCBFs. Therefore, the accuracy is improved at lower frequency points because of the higher quantity of current information contained in the IUCBFs. Numerical results demonstrate that the proposed method is accurate and efficient.

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Generation of wide-band data from the method of moments by interpolating the impedance matrix (EM problems)

Cited by 140 publications

References 6 publications

An Automatic Model Order Reduction of a Uwb Antenna System

An Automatic Model Order Reduction of a Uwb Antenna System

Neural Frequency Sweeper for Accelerating S-Parameters Calculation of Planar Microwave Structures

Solution for Wide Band Scattering Problems by Using the Improved Ultra-Wide Band Characteristic Basis Function Method

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