101642 20230519145441.0 doi 10.3390/electronics10050563 sideral 124117 ART-2021-124117 eng Pérez-Bailón, Jorge Universidad de Zaragoza (orcid)0000-0002-8617-5703 1.0 v-0.18 µm CMOS tunable low pass filters with 73 db dr for on-chip sensing acquisition systems 2021 Access copy available to the general public Unrestricted This paper presents a new approach based on the use of a Current Steering (CS) technique for the design of fully integrated Gm–C Low Pass Filters (LPF) with sub-Hz to kHz tunable cut-off frequencies and an enhanced power-area-dynamic range trade-off. The proposed approach has been experimentally validated by two different first-order single-ended LPFs designed in a 0.18 µm CMOS technology powered by a 1.0 V single supply: a folded-OTA based LPF and a mirrored-OTA based LPF. The first one exhibits a constant power consumption of 180 nW at 100 nA bias current with an active area of 0.00135 mm2 and a tunable cutoff frequency that spans over 4 orders of magnitude (~100 mHz–152 Hz @ CL = 50 pF) preserving dynamic figures greater than 78 dB. The second one exhibits a power consumption of 1.75 µW at 500 nA with an active area of 0.0137 mm2 and a tunable cutoff frequency that spans over 5 orders of magnitude (~80 mHz–~1.2 kHz @ CL = 50 pF) preserving a dynamic range greater than 73 dB. Compared with previously reported filters, this proposal is a competitive solution while satisfying the low-voltage low-power on-chip constraints, becoming a preferable choice for general-purpose reconfigurable front-end sensor interfaces. info:eu-repo/grantAgreement/ES/MCIU/PID2019-106570RB-I00-AEI-10.13039-501100011033 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.69 2021 COMPUTER SCIENCE, INFORMATION SYSTEMS 100 / 164 = 0.61 2021 Q3 T2 PHYSICS, APPLIED 82 / 161 = 0.509 2021 Q3 T2 ENGINEERING, ELECTRICAL & ELECTRONIC 139 / 277 = 0.502 2021 Q3 T2 0.59 2021 Computer Networks and Communications 2021 Q2 Signal Processing 2021 Q2 Hardware and Architecture 2021 Q2 Control and Systems Engineering 2021 Q2 3.7 2021 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Calvo, Belén Universidad de Zaragoza (orcid)0000-0003-2361-1077 Medrano, Nicolás Universidad de Zaragoza (orcid)0000-0002-5380-3013 5008 250 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Electrónica 10, 5 (2021), 563 [16 pp.] Electronics (Basel) Electronics 2079-9292 4184667 http://zaguan.unizar.es/record/101642/files/texto_completo.pdf Versión publicada 2794398 http://zaguan.unizar.es/record/101642/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:101642 articulos driver 2023-05-18-14:32:38 ARTICLE