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Record W4404293770 · doi:10.1109/lmwt.2024.3491760

A D-Band Differential Phase Shifter Based on a Transmission Delay Line With Variable Inductors and Capacitors

2024· article· en· W4404293770 on OpenAlexaff
Ilgwon Kim, Hyunji Koo, Wansik Kim, Songcheol Hong

Bibliographic record

VenueIEEE Microwave and Wireless Technology Letters · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsCapacitorInductorPhase shift moduleTransmission lineVariable capacitorDifferential (mechanical device)Materials scienceVariable (mathematics)Electric power transmissionLine (geometry)Electrical engineeringOptoelectronicsPhysicsEngineeringMathematicsInsertion lossVoltage

Abstract

fetched live from OpenAlex

A transmission delay line (TDL) differential phase shifter (PS) with 5-bit resolution, operating at D-band frequencies (120–146 GHz), is proposed. It provides bi-directional 180° phase shift characteristics with$50~\Omega $input/output impedances. It consists of eight LC cells. Each unit cell has a series inductor and two shunt capacitors. The inductance is controlled with a switched coupled inductor (SCI), and the capacitances are controlled with variable capacitors. The 1st to 6th cells are identical, where a unit cell provides a 22.5° phase shift. The 7th and 8th cells are for phase shifts of 11.25°/22.5° and 5.625°/11.25°, respectively. These are achieved by using dual-switched coupled inductors (DSCI) and varactors in each cell. The proposed PS is designed in a 40-nm CMOS process, occupying 0.24 mm2 including I/O pads with a core size of 0.09 mm2. The maximum measured insertion loss was −17.2 dB at 142 GHz, and the loss variation across all 33 phases was within 1.5 dB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.251
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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Same venueIEEE Microwave and Wireless Technology LettersSame topicGyrotron and Vacuum Electronics ResearchFrench-language works237,207