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Record W2266391085 · doi:10.1049/iet-map.2015.0403

Low‐loss compact power combiner for solid state power amplifiers with high reliability

2015· article· en· W2266391085 on OpenAlex
Mehrdad Gholami, Rony E. Amaya, M.C.E. Yagoub

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

VenueIET Microwaves Antennas & Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCommunications Research Centre CanadaUniversity of Ottawa
Fundersnot available
KeywordsAmplifierReliability (semiconductor)Power (physics)Solid-stateElectrical engineeringElectronic engineeringComputer scienceReliability engineeringEngineeringPhysicsEngineering physicsCMOS

Abstract

fetched live from OpenAlex

In this study, a low‐loss and compact planar power combiner for solid state power amplifiers (SSPAs) is proposed. It combines eight power amplifier modules with low insertion loss (IL) and high reliability by utilising a novel magic‐Tee configuration and E ‐plane bend along with a suitable microstrip‐to‐waveguide transition. The fabricated prototype was implemented through automatic milling machines to produce three planar layers that form the final structure. This novel approach enabled precise fabrication, simple assembly of the SSPAs as well as low‐cost manufacturing in comparison with existing traditional approaches. This process is suitable for SSPAs operating from 4 to 40 GHz. The combined IL of the implemented combiner network is less than 0.6 dB at Ka‐band, 0.5 dB at Ku‐band, and 0.4 dB at X‐band while exhibiting a 10% fractional bandwidth.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.115
Threshold uncertainty score1.000

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 head0.013
GPT teacher head0.227
Teacher spread0.214 · 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