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Record W4312648180 · doi:10.1109/tap.2022.3207203

A Low-Profile 2D Passive Phased-Array Antenna-in-Package for Emerging Millimeter-Wave Applications

2022· article· en· W4312648180 on OpenAlexafffund
Amir Raeesi, Ardeshir Palizban, Ahmad Ehsandar, Hussam Al‐Saedi, Suren Gigoyan, Wael M. Abdel‐Wahab, Safieddin Safavi‐Naeini

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2022
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyOntario Centre of Innovation
KeywordsPhase shift modulePhased arrayPhysicsOpticsAzimuthDirectivityExtremely high frequencyAntenna (radio)Bandwidth (computing)Computer scienceTelecommunicationsInsertion loss

Abstract

fetched live from OpenAlex

This article covers the implementation, calibration, and measurement aspects of a low-profile 4 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 4 passive phased-array antenna-in-package (AiP) employing the beamformer discussed in <xref ref-type="bibr" rid="ref9" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[9]</xref> . The antenna array comprises slot-coupled patch antennas with left-handed circularly polarized (LHCP) radiation. Microelectromechanical system (MEMS)-like tunable phase shifter (PS) functioning based on controlling the phase constant of a slow wave microstrip line is employed for the phase tuning. Measurement results show the antenna‘s main beam can be steered over an angular range of ±30° in both elevation and azimuth planes. The operating frequency bandwidth of the system ranges from 28 to 30 GHz. The peak directivity and the radiation efficiency of the antenna system are 18.48 dBic and 58% at Boresight at 29 GHz, respectively. The efficiency drops 16% when the steering angle reaches the maximum.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.973
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.221
Teacher spread0.209 · 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 teacher head, 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

Citations28
Published2022
Admission routes2
Has abstractyes

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