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Record W2331111548 · doi:10.2514/6.2007-3103

Ka-Band Self-Calibration Direct Modulator for Space Applications

2007· article· en· W2331111548 on OpenAlexaffabout
Weiguo Chen, Arvind Swarup, Lionel Grada, Robert Deschampault

Bibliographic record

Venue25th AIAA International Communications Satellite Systems Conference (organized by APSCC) · 2007
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCOM DEV International
Fundersnot available
KeywordsCalibrationSpace (punctuation)Computer sciencePhysicsElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

This paper describes a development work of a high-speed Ka-band digital direct modulator performed in COM DEV for on-board application based on a novel self- calibration technique developed by CRC Canada. Direct modulations can significantly simplify up-conversion hardware and improve efficiency by eliminating intermediate up- conversion stages and corresponding LO sources. These advantages are especially valuable for satellite communications payloads due to strict constraints on payload volume, mass, and power consumption of spacecrafts. To mitigate impairments from quadrature modulator hardware commonly experienced in direct modulation, CRC Canada has developed a novel self-calibration direct modulator technique based on RF envelope sampling and digital signal processing to drive a pre-compensation mechanism. The new technique has been successfully prototyped and tested for ground terminal applications. This paper further addresses development of a Ka-band direct modulator for high-speed on-board transmitters. Test results indicate the new technology can effectively remove degradations from carrier leakage and I-Q imbalance.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
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 head0.020
GPT teacher head0.251
Teacher spread0.231 · 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.

Study designNot applicable
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

Citations0
Published2007
Admission routes2
Has abstractyes

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