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Record W2636465165 · doi:10.15407/rpra19.04.375

HIGH SENSITIVITY 0.5 TO 19.5 GHZ RECEIVER WITH 1.1-GHZ INSTANTANEOUS BANDWIDTH

2014· article· en· W2636465165 on OpenAlexaboutno aff
V. A. Volkov, D. M. Vavriv, E. V. Bulakh, А. Кравцов

Bibliographic record

VenueRadio physics and radio astronomy · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsTelecommunicationsPhysicsElectrical engineeringTel avivLibrary scienceEngineeringComputer science

Abstract

fetched live from OpenAlex

Описывается широкополосный высокочувствительный свервысокочастотный приемник, способный принимать сигналы в диапазоне 0.5÷19 ГГц с мгновенной полосой 1.1 ГГц. Приемник имеет коэффициент шума не превышающий 10 дБ и точку интермодуляции 3-го порядка по входу, достигающую +10 дБм. Приемник отличается также малым уровнем внутренних паразитных сигналов и крайне низкими значениями внутренних фазовых шумов. Приведены и обсуждаются основные принципы построения приемника. Ключевые слова: приемник, широкополосный, малошумящий, СВЧ Статья поступила в редакцию 09.09.2014 Radio phys. radio astron. 2014, 19(4): 375-380 СПИСОК ЛИТЕРАТУРЫ 1. Neri F. Introduction to Electronic Defense Systems, 2nd ed. – Artech House, 2006. 2. Tsui J. Microwave Receivers With Electronic Warfare Applications. Corrected Reprint. – Raleigh, NC: SciTech Publishing, 2005. 3. Multi-Carrier and Spread Spectrum Systems: From OFDM and MC-CDMA to LTE and WiMAX, 2nd Ed. – John Wiley & Sons Inc., 2008. 4. Goldsmith A. Wireless Communications. – New York: Cambridge University Press, 2005. 5. Rembovsky A., Ashikhmin A., Kozmin V., and Smolskiy S. M. Radio Monitoring. – Dordrecht, Heidelberg, London, New York: Springer, 2009. 6. Simon M., Omura J., Scholtz R., and Levitt B. Spread Spectrum Communications Handbook. – New York, Chicago, San Francisco, Lisbon, London, Madrid, Mexico City, Milan, New Delhi, San Juan, Seoul, Singapore, Sydney, Toronto: McGraw-Hill Professional, 2001. 7. Wicks M. C., Mokole E. L., Blunt S. D., Schneible R. S., and Amuso V. J. Principles of Waveform Diversity and Design. – Raleigh, NC: Sci Tech Publishing, 2011. 8. Bezvesilniy O. O., Vavriv D. M., Vinogradov V. V., Volkov V. A., and Kozhin R. V. Synthetic Aperture Radar Systems for Light-Weight Aircrafts // Uspehi sovremennoy radioelektroniki. – 2012. – No. 12. – P. 53–61, (in Russian). 9. Rudersdorfer R. Radio Receiver Technology: Principles, Architectures and Applications. – John Wiley & Sons Inc., 2014. 10. Drentea C. Modern Communications Receiver Design and Technology. – Artech House, 2010. 11. Marki F. and Marki C. T3 Mixer Primer, App. Note. – Morgan Hill, CA: Marki Microwave. 12. Teppati V., Ferrero A., and Sayed M. , editors, Modern RF and Microwave Measurement Techniques. – New York: Cambridge University Press, 2013.

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)0.001
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.010

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 head0.006
GPT teacher head0.200
Teacher spread0.194 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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