Computer-Aided Filter Alignment and Diagnosis

Thal, H.L.

doi:10.1109/tmtt.1978.1129528

Cited by 35 publications

(7 citation statements)

References 5 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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“…As a result, the production costs are significantly increased. During the last couple of decades the researchers reported many interesting methods for postproduction filter tuning, both in frequency [6] and time domain [7]. The method [6] was developed over the years into coupling matrix (CM) synthesis.…”

Section: Introductionmentioning

confidence: 99%

“…During the last couple of decades the researchers reported many interesting methods for postproduction filter tuning, both in frequency [6] and time domain [7]. The method [6] was developed over the years into coupling matrix (CM) synthesis. Filter tuning algorithms based on (CM) are interesting due to the fact that the elements of CM directly correspond to physical filter tuning elements.…”

Section: Introductionmentioning

confidence: 99%

On Linear Mapping of Filter Characteristic to Position of Tuning Elements in Filter Tuning Algorithm

Michalski¹

2012

PIER

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Abstract-This work presents a novel approach in building a multidimensional approximator which is used as a linear operator for mapping the vector of detuned filter characteristic to the vector of deviations of tuning elements. This has been done for the purpose of using it in postproduction filter tuning algorithm. With the use of collected sets of deviations of tuning elements and filter characteristics corresponding to them, the least squares method (LSM) is applied to determine the matrix which realizes the linear mapping between these vectors. The matrix found in this method approximates the vectors of both spaces (filter characteristics and corresponding deviations of tuning elements). In tuning process this matrix is used to determine the vector of tuning element deviations for a given detuned filter characteristic read from Vector Network Analyzer. To increase the "quality" of linear operator filter characteristics are transformed with the use of Karhunen-Loeve transform (Principal Component Analysis). In contrast to non-linear artificial intelligence approximators used in filter tuning and published to-date, this method does not require a time-consuming training process. Filter tuning experiments have been performed and proved the correctness of the presented approach.

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Computer-Aided Filter Alignment and Diagnosis

Cited by 35 publications

References 5 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

On Linear Mapping of Filter Characteristic to Position of Tuning Elements in Filter Tuning Algorithm

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