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Record W2160381436 · doi:10.1109/dtis.2009.4938025

Duplexer-less LNA/PA design for wireless transceivers with bondwire-antenna

2009· article· en· W2160381436 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)EngineeringEffective radiated powerElectronic engineeringNoise figureAntenna tunerInductorLink budgetWirelessTelecommunicationsCMOSAntenna efficiencyDipole antennaChannel (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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.018
GPT teacher head0.203
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2009
Admission routes1
Has abstractyes

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