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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The inductor was primarily developed on a low-voltage CMOS tunable active inductor (CTAI) for radar applications. Technically, the factors to be considered for VCO design are power consumption, low silicon area, high frequency with reasonable phase noise, an immense quality (Q) factor, and a large frequency tuning range (FTR). We used CMOS tunable active inductor (TAI) topology relying on cascode methodology for 24 GHz frequency operation. The newly configured TAI adopts the additive capacitor (Cad) with the cascode approach, and in the subthreshold region, one of the transistors functions as the TAI. The study, simulations, and measurements were performed using 65nm CMOS technology. The assembled circuit yields a spectrum from 21.79 to 29.92 GHz output frequency that enables sustainable platforms for K-band and Ka-band operations. The proposed design of TAI demonstrates a maximum Q-factor of 6825, and desirable phase noise variations of −112.43 and −133.27 dBc/Hz at 1 and 10 MHz offset frequencies for the VCO, respectively. Further, it includes enhanced power consumption that varies from 12.61 to 23.12 mW and a noise figure (NF) of 3.28 dB for a 24 GHz radar application under a low supply voltage of 0.9 V.

Details

Title
A Novel 65 nm Active-Inductor-Based VCO with Improved Q-Factor for 24 GHz Automotive Radar Applications
Author
Behera, Prangyadarsini 1   VIAFID ORCID Logo  ; Siddique, Abrar 2   VIAFID ORCID Logo  ; Tahesin, Samira Delwar 1   VIAFID ORCID Logo  ; Biswal, Manas Ranjan 1   VIAFID ORCID Logo  ; Choi, Yeji 1 ; Ryu, Jee-Youl 1 

 Department of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea; [email protected] (P.B.); [email protected] (A.S.); [email protected] (T.S.D.); [email protected] (M.R.B.); [email protected] (Y.C.) 
 Department of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea; [email protected] (P.B.); [email protected] (A.S.); [email protected] (T.S.D.); [email protected] (M.R.B.); [email protected] (Y.C.); Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada 
First page
4701
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2686095647
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.