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Record W1982276116 · doi:10.1109/mwsym.2006.249845

New Millimeter-wave Six-port Heterodyne Receiver Architecture

2006· article· en· W1982276116 on OpenAlexaff
Serioja Ovidiu Tatu, Tayeb A. Denidni

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsDemodulationSuperheterodyne receiverExtremely high frequencyRadio receiver designPort (circuit theory)Computer scienceElectronic engineeringHeterodyne (poetry)Intermediate frequencyDetectorHeterodyne detectionLocal oscillatorSIGNAL (programming language)Radio frequencyElectrical engineeringMillimeterTelecommunicationsEngineeringPhysicsOpticsAcousticsTransmitterChannel (broadcasting)

Abstract

fetched live from OpenAlex

The modern communication receivers are more and more exigent in terms of wide-band, data rates, size and costs. Because conventional millimeter-wave receivers are limited in these aspects, alternative receivers have been explored in the past years. A new six-port receiver heterodyne architecture is proposed in this paper. The first frequency conversion is performed using a passive circuit, the six-port, avoiding the conventional millimeter-wave active costly mixer. The second frequency conversion uses conventional means due to the low IF value. This paper describes in detail the basic theory of the proposed receiver, including a discussion concerning the choice of power or magnitude RF detectors. In addition, demodulation results of a 100 Mb/s Ka-band QPSK signal are presented and discussed

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)0.000
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.189
Teacher spread0.176 · 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

Citations10
Published2006
Admission routes1
Has abstractyes

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