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Record W2044441211 · doi:10.1002/mop.25823

Active‐inductor‐matched 6‐GH<scp>Z</scp>duplexer‐less LNA/PA design incorporated with a bondwire‐antenna

2011· article· en· W2044441211 on OpenAlexaff
Abdulhakim Ahmed

Bibliographic record

VenueMicrowave and Optical Technology Letters · 2011
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsDuplexerTransceiverInductorElectrical engineeringAntenna (radio)TransmitterEffective radiated powerEngineeringNoise figureElectronic engineeringMicrowaveRadio frequencyTelecommunicationsCMOSVoltage

Abstract

fetched live from OpenAlex

Abstract This article presents a correction to a previously published duplexer‐less LNA/PA circuit incorporating a bondwire antenna showing the comparison between the calculated, simulated, and measured results of the gain, radiated power, radiation pattern, and the transmitter to receiver link‐budget for a bondwire‐antenna for short‐range radio communications in the 6‐GHz frequency range.The correction is given in the radiation efficiency and power transmitted by the PA. The LNA and PA were matched to the 50‐Ω ports of the measuring instruments via an active inductor. Besides the inductive bondwire antenna, the LNA and PA are designed to be completely inductor‐less, thus, saving the silicon chip area. The transceiver range is calculated to be about 4.72 m, ideal for applications such as remote controls, biomedical monitoring equipment, or RFID tags. Both front end blocks are designed with low‐power, low cost, and high yield considerations for production in industry. The inductorless LNA parameters at 6 GHz are S 21 of 14 dB for both the LNA and PA, a deduced NF of 4.9 dB for the LNA, S 11 and S 22 less than −10 dB, with 10‐mW TX, and 15‐mW RX power consumption for a 1.2 V supply. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 53:761–766, 2011; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.25823

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 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 score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.185
Teacher spread0.164 · 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.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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