Computer-aided tuning of microwave filters using fuzzy logic

Miraftab, V.; Mansour, Raafat R.

doi:10.1109/mwsym.2002.1011844

Cited by 36 publications

(24 citation statements)

References 12 publications

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“…This method is very fast and easy adaptable to the new filter type but is very limited as it can be used only for low-order filters. However, most techniques are based on a frequency domain such as [2,3] where coupling matrix is extracted. Then, based on its entries, tuning screws which cause detuning are identified.…”

Section: Introductionmentioning

confidence: 99%

Filter Tuning Based on Linear Decomposition of Scattering Characteristics

Kacmajor¹,

Michalski²

2013

PIER

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Abstract-This paper proposes a microwave filter post-production tuning based on an optimization process which finds the vector of deviations of tuning elements that should be applied to tune the filter. To build the system, the coarse set of scattering parameters is collected in such a way that every tuning element is detuned while other elements remain in their proper positions. In the concept, it is assumed that the relation between the positions of tuning elements and filter scattering characteristics can be modelled by the sum of one argument polynomial functions. Each polynomial function depends on the value of only one tuning element. Therefore, the measured filter characteristics can be linearly decomposed to characteristics from the collected coarse set and corresponding tuning element deviations can be found. This is done by way of optimization process. The presented numerical and physical experiments on the 7th order cross-coupled, bandpass filter have verified our approach.

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Section: Introductionmentioning

confidence: 99%

Filter Tuning Based on Linear Decomposition of Scattering Characteristics

Kacmajor¹,

Michalski²

2013

PIER

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“…For a de-tuned filter, the corresponding characteristic filter parameters can be extracted from S-parameter measurement through many techniques, such as Cauchy method [4][5][6]. Recently a great deal of effort has been made on computer aided tuning for microwave filter [7][8][9][10][11][12][13][14][15][16][17][18][19][20]. In this paper, a novel hybrid method are proposed.…”

Section: Introductionmentioning

confidence: 99%

A Fast Tuning Method for Microwave Filter Using Vf-Asm Technology

Zhang¹,

Su²,

Li³

et al. 2013

PIER M

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Abstract-A novel microwave filter tuning method based on vector fitting and aggressive space mapping (VF-ASM) technology is presented in this paper.The filter tuning is performed as a two step procedure. First, the equivalent circuit parameters are extracted through vector fitting method by a series of S-parameter measurements. Second, the optimal screw positions are calculated through ASM techniques. this novel tuning technique has been tested successfully with cross-coupled six-resonator and direct coupled eightresonator filters.

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“…Cheap antenna models can be obtained using approximation techniques such as polynomial regression [1], radial basis functions [2], kriging [2], [3], support vector regression [4]- [6], artificial neural networks [7]- [10], fuzzy systems [11], or multidimensional Cauchy approximation [12]. However, for good accuracy, these techniques require a large number of training points, particularly if the number of design variables is large.…”

Section: Introductionmentioning

confidence: 99%

Accurate modeling of antennas using variable-fidelity EM simulations and co-kriging

Kozieł

Ogurtsov

Couckuyt

et al. 2012

2012 6th European Conference on Antennas and Propagation (EUCAP)

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Abstract-We present an accurate and low-cost modeling of antenna structures using variable-fidelity electromagnetic (EM) simulations. Our approach exploits sparsely sampled highfidelity (accurate) EM data as well as densely sampled coarsediscretization (low-fidelity) EM simulations that are accommodated into one model using co-kriging technique. By using coarse-discretization simulations, the computational cost of creating the antenna model is greatly reduced compared to conventional approach, where high-fidelity simulations are directly used to set up the model. To our knowledge, this is the first application of co-kriging to antenna modeling. Numerical verification and comparisons with kriging interpolation are given.

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Computer-aided tuning of microwave filters using fuzzy logic

Cited by 36 publications

References 12 publications

Filter Tuning Based on Linear Decomposition of Scattering Characteristics

Filter Tuning Based on Linear Decomposition of Scattering Characteristics

A Fast Tuning Method for Microwave Filter Using Vf-Asm Technology

Accurate modeling of antennas using variable-fidelity EM simulations and co-kriging

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