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Spatially Distributed Polarization Receiver Array for Communication and Sensing Multifunction Systems

2024· article· en· W4403937586 on OpenAlex
Jie Deng, Pascal Burasa, Seyed Ali Keivaan, Ke Wu

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
TopicAntenna Design and Optimization
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsComputer sciencePolarization (electrochemistry)Electronic engineeringCommunications systemElectrical engineeringTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

In this work, a spatially distributed one-dimensional (1-D) receiver array for future polarized multifunction communication and sensing systems is introduced and presented for the first time. Different from the conventional receiver array, the proposed receiver system based on the orthomode transducer (OMT) enables the dual-polarization property without adding the number of receiver blocks. Besides, due to the 1-D spatial distribution, not only does this OMT array significantly improve the communication capacity, but also it can achieve multifunction sensing applications such as typical angle-of-arrival (AoA) and polarization detection. To validate the proposed concept, a theoretical analysis of the proposed receiver array is derived and presented. Then, an experimental 6-cell proof-of-concept prototype is developed, fabricated, and measured. The demodulated 4-QAM and 16-QAM signals confirm the good performance of the proposed OMT receiver array.

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 score0.978
Threshold uncertainty score0.268

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 head0.011
GPT teacher head0.203
Teacher spread0.193 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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