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Record W2109146421 · doi:10.1109/iscas.2009.5117938

Bondwire-antenna and duplexer-less LNA/PA design for wireless transceivers

2009· article· en· W2109146421 on OpenAlexaff
Abdulhakim Ahmed, Jim Wight

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsDuplexerTransceiverTransmitterElectrical engineeringAntenna (radio)Effective radiated powerEngineeringElectronic engineeringNoise figureInductorAntenna tunerLink budgetWirelessCMOSDipole antennaAntenna efficiencyTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

This paper presents the design of a bondwire antenna with detailed equations showing the derivation of the radiated power, radiation pattern, and the transmitter to receiver link-budget for a bondwire-antenna for short-range radio communications in the 6.5 GHz frequency range. The bondwire antenna is then used to design a high-gain, narrowband duplexer-less LNA/PA blocks for a transceiver with the LNA input and PA output automatically matched to the antenna. Besides the inductive bondwire antenna, the LNA and PA are designed to be inductor-less, thus saving the silicon chip area. The transceiver range is calculated to be about 2.27 m, ideal for applications such as 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 6.5 GHz are S21 of 15 dB for the LNA and 7 dB for the PA, NF of 5.7 dB for the LNA, S11 and S22 less than -10 dB, with 9.8 mW for TX and 14.6 mW for RX power consumption for 1.2 V supply.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.647

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 head0.020
GPT teacher head0.211
Teacher spread0.191 · 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 designSimulation or modeling
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

Citations6
Published2009
Admission routes1
Has abstractyes

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