Systematic Approach to the Design of Reconnection-Less Reconfigurable Filters Using the Method of Unknown Nodal Voltages

The paper introduces a systematic approach to the design of reconnection-less reconfigurable filters based on the Method of Unknown Nodal Voltages (MUNV). The used approach of previously proposed filters is based on the trial and error (personal experience) selection of parameters of the factorization of the algebraic complements for Laplace expansion of the sub-determinants while the newly proposed approach consists of the gradual placement of individual parameters into the specific matrix element(s) based on the knowledge of which position in the matrix is reflected in particular terms of the transfer function. The proposed approach provides following advantages in comparison to the standard MUNV: a) a more systematic design of MUNV based reconnection-less reconfigurable filters, b) it only requires returning to the selection of signs of individual parameters when the resulting transfer function does not meet its desired form, c) it can be adjusted for different circuits other than reconnection-less reconfigurable filters. The introduced approach is tested and verified for several previously proposed reconnection-less reconfigurable filters (based on MUNV method) and newly presented solution. The possibility to design other circuit types (shown for the design of an oscillator) is also presented. The behavior of the proposed filter is supported by PSpice simulations and experimental measurements in order to verify the design approach.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3603673
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systematic Approach to the Design of Reconnection-Less Reconfigurable Filters Using the Method of Unknown Nodal Voltages

Roman Šotner, Lukáš Langhammer
IEEE Access
Advanced Research in Systems and Signal Processing
article

Systematic Approach to the Design of Reconnection-Less Reconfigurable Filters Using the Method of Unknown Nodal Voltages

Roman Šotner, Lukáš Langhammer
article en

Abstract

The paper introduces a systematic approach to the design of reconnection-less reconfigurable filters based on the Method of Unknown Nodal Voltages (MUNV). The used approach of previously proposed filters is based on the trial and error (personal experience) selection of parameters of the factorization of the algebraic complements for Laplace expansion of the sub-determinants while the newly proposed approach consists of the gradual placement of individual parameters into the specific matrix element(s) based on the knowledge of which position in the matrix is reflected in particular terms of the transfer function. The proposed approach provides following advantages in comparison to the standard MUNV: a) a more systematic design of MUNV based reconnection-less reconfigurable filters, b) it only requires returning to the selection of signs of individual parameters when the resulting transfer function does not meet its desired form, c) it can be adjusted for different circuits other than reconnection-less reconfigurable filters. The introduced approach is tested and verified for several previously proposed reconnection-less reconfigurable filters (based on MUNV method) and newly presented solution. The possibility to design other circuit types (shown for the design of an oscillator) is also presented. The behavior of the proposed filter is supported by PSpice simulations and experimental measurements in order to verify the design approach.

IEEE AccessVol. 13
University of Defence (CZ)
Ministerstvo Obrany České Republiky
Openalex Percentile: Top 73%
Advanced Research in Systems and Signal Processing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.