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Record W2100850918 · doi:10.1109/icecs.2006.379818

ACPR Performance Study for Modified LINC Amplifier

2006· article· en· W2100850918 on OpenAlexaff
Mohamed Abd El–Aal, Fadhel M. Ghannouchi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Power Amplifier Design
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAmplifierBasebandAdjacent channel power ratioOrthogonal frequency-division multiplexingElectronic engineeringComputer scienceCompatibility (geochemistry)Adjacent channelChannel (broadcasting)TelecommunicationsEngineeringBandwidth (computing)Predistortion

Abstract

fetched live from OpenAlex

A study for the adjacent channel power ratio (ACPR) for modified linear amplification using nonlinear component (LINC) power amplifiers used in wireless communication systems when branch signals are digitally baseband filtered is proposed. The LINC is modified by sending the filtered branch signals and then combine them at the receiver. The IEEE802.11g standard, which operates at 2.4 GHz, employing the OFDM signals is used to show the system performance compatibility with the standard and efficiency improvements. Results show that the ACPR is lowered when using a least square filter, from -26.1dBc to -63.8dBc. The efficiency is improved by 3.4 times when compared with that of a regular LINC.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.688
Threshold uncertainty score0.676

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 head0.016
GPT teacher head0.228
Teacher spread0.212 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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