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Record W2101374671 · doi:10.1109/aps.1999.789295

Design and characterization of single and multiple beam MM-wave circularly polarized substrate lens antennas for wireless communications

2003· article· en· W2101374671 on OpenAlexaff
Xidong Wu, George V. Eleftheriades, Emilie van Deventer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOpticsLens (geology)DirectivityTurnstile antennaAperture (computer memory)Optical wirelessMultipath propagationAntenna (radio)Computer scienceWirelessMaterials sciencePhysicsAntenna apertureDipole antennaTelecommunicationsAcoustics

Abstract

fetched live from OpenAlex

We present the design of single and multiple beam circularly polarized (CP) substrate lens antennas for wireless applications at 30 GHz. Circular polarization and high directivity are desirable features as they can effectively reduce multipath effects and maintain a proper link margin. In addition, multiple beam antennas can be utilized either for space division multiple access (SDMA) or for incorporating "smart" antenna features. The approach taken is to use an aperture coupled patch antenna as the lens feed in combination with low-cost plastic materials for making the lens. For the single-beam design, an ellipsoidal lens is utilized which leads to diffraction limited patterns on-axis. For the multiple-beam design, we choose a hexagonal arrangement of printed patch elements at the back of the lens to maximize scan coverage. Also, the extension length of the ellipsoidal lens is optimized to launch beams with roughly equal power densities.

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 score0.564
Threshold uncertainty score0.493

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 head0.039
GPT teacher head0.208
Teacher spread0.169 · 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

Citations20
Published2003
Admission routes1
Has abstractyes

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