127687 20260219141449.0 doi 10.1109/JSEN.2023.3277714 sideral 134782 ART-2023-134782 eng Domínguez-Gimeno, Sergio Universidad de Zaragoza (orcid)0000-0002-1229-8591 An Optimization Approach to Eliminate Crosstalk in Zero-Potential Circuits for Reading Resistive Sensor Arrays 2023 Access copy available to the general public Unrestricted Crosstalk is a well-known problem in resistive sensor arrays (RSAs). The zero-potential method (ZPM) is a commonly used readout circuit that uses multiplexers and demultiplexers to reduce the main sources of crosstalk. However, the internal resistors of these switches cause a secondary crosstalk in the RSA that alters the RSA sensor values read. The solution to the effects of this secondary crosstalk is still a case of study. In previous literature, these resistances have been considered as known and, in most cases, equal for all switch channels. However, in a real situation, they are unknown and may vary between channels. In this work, a least-squares (LSQR) method is presented to obtain the true values of the switches from the read voltage signals. Calibration columns are added to the RSA for this purpose. To prove the performance of the method proposed, several simulations have been carried out with different values of RSA sensors, switch resistances, size of the RSA, and noise level. Results show that the proposed LSQR method allows obtaining simultaneously accurate values for both the RSA sensors and switch internal resistors. In this way, the problem of secondary crosstalk is neutralized. It also shows better performance when compared with existing approaches. info:eu-repo/grantAgreement/ES/DGA/T49-20R info:eu-repo/grantAgreement/ES/MCIN/PID2021-125091OB-I00 info:eu-repo/grantAgreement/ES/MCIU/FPU18-04282 info:eu-repo/grantAgreement/ES/MCIU/FPU20-04578 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 4.3 2023 ENGINEERING, ELECTRICAL & ELECTRONIC 84 / 353 = 0.238 2023 Q1 T1 INSTRUMENTS & INSTRUMENTATION 15 / 76 = 0.197 2023 Q1 T1 PHYSICS, APPLIED 48 / 179 = 0.268 2023 Q2 T1 1.084 2023 Instrumentation 2023 Q1 Electrical and Electronic Engineering 2023 Q1 7.7 2023 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Medrano-Sánchez, Carlos Universidad de Zaragoza (orcid)0000-0001-7671-7540 Igual-Catalán, Raúl Universidad de Zaragoza (orcid)0000-0002-1561-0536 Martínez-Cesteros, Javier Universidad de Zaragoza (orcid)0000-0001-8458-5656 Plaza-García, Inmaculada Universidad de Zaragoza (orcid)0000-0001-7550-6688 2005 595 Universidad de Zaragoza Dpto. Matemática Aplicada Área Matemática Aplicada 5008 785 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Tecnología Electrónica 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 23, 13 (2023), 14215-14225 IEEE sens. j. IEEE SENSORS JOURNAL 1530-437X 856124 http://zaguan.unizar.es/record/127687/files/texto_completo.pdf Versión publicada 3187488 http://zaguan.unizar.es/record/127687/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:127687 articulos driver 2026-02-19-14:14:15 ARTICLE