MétaCan
Menu
Back to cohort
Record W2593020260 · doi:10.1109/mwscas.2016.7870037

A new reconfigurable mixerless polar transmitter for multi-standard and SDR applications

2016· article· en· W2593020260 on OpenAlexaff
Suhas Illath Veetil, Mohamed Helaoui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTransmitterSoftware-defined radioElectronic engineeringAmplifierRadio frequencyComputer scienceBandwidth (computing)Video Graphics ArrayQAMElectronic circuitRadio transmitter designBasebandTopology (electrical circuits)Quadrature amplitude modulationElectrical engineeringEngineeringChannel (broadcasting)CMOSTelecommunications

Abstract

fetched live from OpenAlex

A mixerless polar transmitter architecture using an analog RF variable gain amplifier (VGA) and an analog phase shifter is proposed and implemented. This architecture avoids the use of nonlinear switching mixers and quadrature modulator circuits for frequency up-conversion. Thus, spurs and distortion common to mixer circuits are absent and therefore the proposed architecture does not require any filtering at its RF output. Hence, the proposed topology can be implemented for wider RF bandwidths and is more reconfigurable for multi-standard and Software Defined Radio applications. The unusual nonlinear behavior of the proposed polar transmitter was analyzed and mitigated using a new modified memory polynomial model. The proposed architecture achieved an EVM of 0.92 % for an LTE signal of 1.4 MHz bandwidth with 64 QAM constellation.

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 score0.001
Threshold uncertainty score0.005

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.025
GPT teacher head0.257
Teacher spread0.232 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Power Amplifier DesignFrench-language works237,207