Reconnection-Less Reconfigurable Filter Based on Method of Unknown Nodal Voltages Using 4x4 Matrix

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Langhammer, Lukáš
Šotner, Roman

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Referee

Mark

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IEEE
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Abstract

The paper introduces a novel design solution of a reconnection-less reconfigurable filter based on the method of unknown nodal voltages (MUNV). The filter offers all standard 2nd-order transfer functions and the electronic adjustment of the pole frequency and quality factor, which are mutually independent. The introduced design brings following advantages in comparison to other relevant solutions (MUNV-based reconnection-less reconfigurable filters): a) it consists of four independent nodes which brings the advantage of both working capacitors being grounded as floating capacitors can cause unpredictable parasitic behavior, b) the additional adjustment of the quality factor, c) the additional adjustment of the pass-band at lower and higher frequencies. Simulations and experimental measurements were carried out in order to verify the proposed design.
The paper introduces a novel design solution of a reconnection-less reconfigurable filter based on the method of unknown nodal voltages (MUNV). The filter offers all standard 2nd-order transfer functions and the electronic adjustment of the pole frequency and quality factor, which are mutually independent. The introduced design brings following advantages in comparison to other relevant solutions (MUNV-based reconnection-less reconfigurable filters): a) it consists of four independent nodes which brings the advantage of both working capacitors being grounded as floating capacitors can cause unpredictable parasitic behavior, b) the additional adjustment of the quality factor, c) the additional adjustment of the pass-band at lower and higher frequencies. Simulations and experimental measurements were carried out in order to verify the proposed design.

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IEEE Access. 2023, vol. 11, issue 1, p. 8600-8608.
https://ieeexplore.ieee.org/document/10024952

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en

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Except where otherwised noted, this item's license is described as Creative Commons Attribution 4.0 International
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