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Record W1974750681 · doi:10.1109/ieee-iws.2013.6616796

Improved joint radar-radio (RadCom) transceiver for future intelligent transportation platforms and highly mobile high-speed communication systems

2013· article· en· W1974750681 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
TopicRadar Systems and Signal Processing
Canadian institutionsUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsTransceiverRadarComputer scienceCommunications systemRadio frequencyReal-time computingEmbedded systemMobile radioJoint (building)Mode (computer interface)Electronic engineeringTelecommunicationsEngineeringWireless

Abstract

fetched live from OpenAlex

A multifunctional transceiver for integrated radar sensing and radio communication (or simply termed RadCom) systems is developed in the time domain. It is a robust alternative of the previous architecture for a smart system that operates jointly as radar or radio in consecutive time slots. Following a system design approach, a low-frequency prototype of the proposed transceiver is realized and its performance is evaluated. Within the radar mode, the added ability of target detection as well as improved range resolution against the previously demonstrated version makes the system suitable for driving assistance applications. Within the radio mode, it has proved a great capability of communication at a data rate of 25Mbps.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.705

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 communication0.0000.001
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 head0.010
GPT teacher head0.193
Teacher spread0.183 · 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

Citations14
Published2013
Admission routes1
Has abstractyes

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