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Record W3094000863 · doi:10.1109/ims30576.2020.9223961

High-Frequency Vector-Modulated Signal Generation Using Frequency-Multiplier-Based RF Beamforming Architecture

2020· article· en· W3094000863 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPredistortionFrequency multiplierBeamformingOrthogonal frequency-division multiplexingElectronic engineeringRadio frequencydBcComputer scienceAdjacent channel power ratioElectrical engineeringAmplifierEngineeringTelecommunicationsCMOSChannel (broadcasting)

Abstract

fetched live from OpenAlex

In this paper, a frequency-multiplier-based radio frequency (RF) beamforming architecture suitable for the generation/transmission of high-frequency vector-modulated signals is proposed. The proposed architecture incorporates a single-input-single-output digital predistortion function that has been carefully synthesized to guarantee excellent error vector magnitude (EVM) and adjacent channel power ratio (ACPR) for the signals received in the far-field. A 2×2 beamforming array was built using off-the-shelf frequency doublers and printed circuit board based patch antennas, all operating at 28 GHz, to serve as the device-under-test in the validation experiments. Over-the-air experiments confirmed the ability of the proposed architecture to successfully generate orthogonal frequency division multiplexed (OFDM) signals. For instance, EVMs as low as 0.9% and 2.5% and ACPRs equal to 52 dBc and 47 dBc, were obtained for modulation bandwidths equal to 100 MHz and 400 MHz, respectively.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

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 head0.031
GPT teacher head0.228
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

Quick stats

Citations7
Published2020
Admission routes1
Has abstractyes

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