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Record W2132772284 · doi:10.1109/aps.2008.4619898

Microwave beamforming using analog signal processing

2008· article· en· W2132772284 on OpenAlex
Mircea Hossu, S.H. Jamali, Pedram Mousavi, K. Narimani, Mohammad Fakharzadeh, S. Safavi‐Naeini

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Waterloo
KeywordsBeamformingComputer scienceAnalog signal processingElectronic engineeringVery-large-scale integrationAntenna (radio)Signal processingAnalog signalSmart antennaCommunications satelliteElectrical engineeringComputer hardwareSatelliteEngineeringDirectional antennaDigital signal processingTelecommunicationsEmbedded system

Abstract

fetched live from OpenAlex

We have presented a mobile Ku band satellite TV antenna array which is adaptively controlled by a simple continuous-time analog circuit performing gradient descent. The system achieves tracking speeds in excess of 60deg/s. The analog controller is expected to result in reduced system cost, power consumption and simpler VLSI integration. The algorithm needs no knowledge of the target function and could therefore be used in various other beamforming applications. Future efforts will be devoted to a specialized VLSI implementation for smart antenna applications consisting of the analog algorithm as well as RF components.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score0.316

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 head0.207
Teacher spread0.182 · 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

Citations2
Published2008
Admission routes2
Has abstractyes

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