75
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A new CMOS compatible high performance first-order all-pass filter realisation

ORCID Icon, ORCID Icon & ORCID Icon
Pages 349-362 | Received 14 Oct 2021, Accepted 18 Apr 2022, Published online: 04 May 2022
 

ABSTRACT

A new realisation of an electronically tunable first-order voltage-mode all-pass filter enjoying the feature of low voltage and low power is proposed in this paper. The proposed realisation of filter employs only one active element namely differential voltage extra-x current controlled conveyor and one grounded capacitor. The use of minimal number of components makes the proposed structure simple and attractive from chip fabrication point of view. The performance of proposed structure is also discussed by considering the effects of parasitic and non-idealities of the used active element. Additionally, higher order filter realisation is also included to enrich the presented work by exploring possible applicability aspects. The theoretical performance is validated at schematic level using 0.18 µm CMOS technology parameters with ±1 V supply voltages. Furthermore, Cadence Analog Design Environment (ADE) with gpdk 0.18 µm technology is used to design the layout of the proposed circuit. Pre-layout and post-layout simulation verification is provided to extend the real time validation of theoretical aspects.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 330.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.