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Record W2511376754 · doi:10.1109/iscas.2016.7527512

An efficient reference-based adaptive antenna impedance matching CMOS circuit

2016· article· en· W2511376754 on OpenAlexaff
Alexandre Robichaud, Frédéric Nabki, Dominic Deslandes

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAntenna (radio)Antenna tunerImpedance matchingElectronic engineeringComputer scienceElectrical engineeringStanding wave ratioCapacitorElectrical impedanceAntenna measurementEngineeringAntenna factorVoltageMicrostrip antenna

Abstract

fetched live from OpenAlex

This paper presents a simple integrated reference based adaptive matching network capable of undertaking real time antenna tuning for applications such as wearable wireless sensors. The signal sent to the antenna is compared to a reference signal using a single flip-flop acting as a phase detector. In case of an impedance mismatch, a counter controlling a capacitor bank is activated reducing the sensed mismatch. The system is capable of three modes: calibration, matching and operation. The calibration mode ensures that the reference signal is in phase with the signal sent to the antenna when the impedance of the antenna is 50 Ω. In matching mode, the capacitor bank is adjusted to maintain antenna matching. In operation mode, the circuit is shut off allowing for low power consumption (85 nW while matching every 1 ms). The circuit is able to provide a VSWR <; 2 over a wide range of antenna impedance levels. It is designed in CMOS 0.13 μm technology.

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)0.001
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.022
GPT teacher head0.219
Teacher spread0.197 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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