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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

A 24 GHz highly-linear upconversion mixer, based on a duplex transconductance path (DTP), is proposed for automotive short-range radar sensor applications using the 65-nm CMOS process. A mixer with an enhanced transconductance stage consisting of a DTP is presented to improve linearity. The main transconductance path (MTP) of the DTP includes a common source (CS) amplifier, while the secondary transconductance path (STP) of the DTP is implemented as an improved cross-quad transconductor (ICQT). Two inductors with a bypass capacitor are connected at the common nodes of the transconductance stage and switching stage of the mixer, which acts as a resonator and helps to improve the gain and isolation of the designed mixer. According to the measured results, at 24 GHz the proposed mixer shows that the linearity of output 1-dB compression point (OP1dB) is 3.9 dBm. And the input 1-dB compression point (IP1dB) is 0.9 dBm. Moreover, a maximum conversion gain (CG) of 2.49 dB and a noise figure (NF) of 3.9 dB is achieved in the designed mixer. When the supply voltage is 1.2 V, the power dissipation of the mixer is 3.24 mW. The mixer chip occupies an area of 0.42 mm2.

Details

Title
A 65 nm Duplex Transconductance Path Up-Conversion Mixer for 24 GHz Automotive Short-Range Radar Sensor Applications
Author
Tahesin, Samira Delwar 1   VIAFID ORCID Logo  ; Siddique, Abrar 2   VIAFID ORCID Logo  ; Biswal, Manas Ranjan 1   VIAFID ORCID Logo  ; Behera, Prangyadarsini 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] (T.S.D.); [email protected] (A.S.); [email protected] (M.R.B.); [email protected] (P.B.); [email protected] (Y.C.) 
 Department of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea; [email protected] (T.S.D.); [email protected] (A.S.); [email protected] (M.R.B.); [email protected] (P.B.); [email protected] (Y.C.); Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada 
First page
594
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
14248220
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621365149
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.