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Record W2601693463 · doi:10.1109/vtcfall.2016.7880955

Design and Characterization of a 77 GHz Six-Port Modulator for an Automobile Radar

2016· article· en· W2601693463 on OpenAlexaff
Homa Arab, Serioja Ovidiu Tatu, Cevdet Akyel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave and Dielectric Measurement Techniques
Canadian institutionsPolytechnique MontréalInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsQuadrature amplitude modulationElectronic engineeringPhase-shift keyingQAMAmplitude and phase-shift keyingBandwidth (computing)Modulation (music)Computer sciencePhase modulationEngineeringTelecommunicationsPhase noisePhysicsBit error rateAcoustics

Abstract

fetched live from OpenAlex

A quadrature phase shift keying (QPSK) and 16 Quadrature amplitude modulation (16-QAM) modulator based on the six-port technique were designed and simulated at the center frequency of 77 GHz over 10 GHz bandwidth. It is composed of a six-port passive microwave network to implement the modulation scheme with suitable variable load as impedance terminations. Its most important application of this modulator is for the automotive industry. It perform accurate distance and Doppler frequency measurements by means of the phase difference between transmitted and received signals. It has potentially the advantage of low power consumption, high signal to noise ratio, compactness and simplicity in realization. Harmonic balance, qi points analysis, and homodyne quadratic modulation were performed to analysis the performance of the six-port correlator. It is shown that the proposed six-port modulator offers accurate QPSK and 16-QAM symbol modulations at high symbol rate across a bandwidth from 72 to 82 GHz.

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 score0.693
Threshold uncertainty score0.202

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 head0.025
GPT teacher head0.222
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

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

Citations6
Published2016
Admission routes1
Has abstractyes

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