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Record W2769450521 · doi:10.1109/tmtt.2017.2771261

Ultralow-Power Radar Sensors for Ambient Sensing in the ${V}$ -Band

2017· article· en· W2769450521 on OpenAlex
Stefan Shopov, Mekdes Gebresilassie Girma, Jürgen Hasch, Ned Cahoon, Sorin P. Voinigescu

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

VenueIEEE Transactions on Microwave Theory and Techniques · 2017
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsUniversity of Toronto
FundersKeysight Technologies
KeywordsElectrical engineeringVoltage-controlled oscillatorPhase noiseFrequency multiplierW bandTransmitterdBcCMOSCenter frequencyEngineeringChipElectronic engineeringPhysicsVoltageBand-pass filter

Abstract

fetched live from OpenAlex

The design considerations and circuit topologies of a family of ultralow-power fundamental-frequency and second-harmonic 60-GHz radar sensors are described. The single-chip sensor architecture features four lownoise-matched receivers, either a fundamental-frequency 60GHz voltage-controlled oscillator (VCO) or 30-GHz VCO + doubler, and a static divide-by-8192 chain which is turned OFF 95% of the time to save DC power. On-die measurements show a power consumption of 42 mW from a single 1.2-V supply, 10% frequency tuning range, -104 to -108 dBc/Hz phase noise at 10-MHz offset, 10-dB conversion gain per receiver, and -7-dBm transmitter output power at the antenna pads. Several 45-nm SOI-CMOS sensor dies were flip-chip mounted on a 7 × 7 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> flexible interposer which also includes four receiveand two transmit antennas. Doppler and direction of arrival tests were conducted over distances of several tens of centimeters.

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)0.001
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 score0.736
Threshold uncertainty score0.658

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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