Evidence map›Paper›PMID 35808197›Full record

ArticleSensors (Basel, Switzerland)2022

A Novel 65 nm Active-Inductor-Based VCO with Improved Q-Factor for 24 GHz Automotive Radar Applications.

Prangyadarsini Behera, Abrar Siddique, Tahesin Samira Delwar, Manas Ranjan Biswal, Yeji Choi, Jee-Youl Ryu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. A 0.049 mmMicromachines · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Prangyadarsini BeheraDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.ORCID 0000-0003-1086-3822
Abrar SiddiqueDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.ORCID 0000-0002-7447-7253
Tahesin Samira DelwarDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.ORCID 0000-0002-4646-763X
Manas Ranjan BiswalDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.ORCID 0000-0003-4263-9083
Yeji ChoiDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.
Jee-Youl RyuDepartment of Smart Robot Convergence and Application Engineering, Pukyong National University, Busan 48513, Korea.

Funding

National Research Foundation of Korea 2018R1D1A1B09043286
6 · The paper itself

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.

Indexed as

CMOS tunable active inductor (CTAI)low phase noiselow supply voltagevoltage-controlled oscillator (VCO)

Identifiers

PMID35808197
PMCPMC9269474

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.