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A 4-Bit 360<sup>o</sup> 10 GHz Digitally-Controlled Passive Phase Shifter With Digital Logic Control On-Chip in 0.15 μm Indium Gallium Arsenide (InGaAs) pHEMT Process

2022· article· en· W4313886806 on OpenAlexaff
Shakeeb Abdullah, Rony E. Amaya

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsPhase shift moduleHigh-electron-mobility transistorGallium arsenideTopology (electrical circuits)Electrical engineeringChipPhase (matter)PhysicsComputer scienceOptoelectronicsTransistorEngineeringQuantum mechanics

Abstract

fetched live from OpenAlex

A 4-bit 360 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sup> digitally-controlled phase shifter at center frequency ($\mathrm{f}_{\mathrm{o}}$) of 10 GHz (6-18 GHz) in 0.15 $\mu$m pHEMT low noise process (that can be further extended to 5, 6, 7, or 8 bits in the future) is presented in this paper. While digital phase shifters are not unique, what this paper shows is how to implement the phase shifting blocks alongside with its digital control circuitry that a lot of commercial phase shifter of similar genre do not include. Implementing digital control in InGaAs can be problematic. This paper studies, analyzes and implements digital inverters and buffers in InGaAs embedded with the phase shifting blocks. T-bridge topologies were used for the phase shifting blocks of $22.5^{\mathrm{o}}$, $45^{\mathrm{o}}$, $90^{\mathrm{o}}$, and $180^{\mathrm{o}}$ units. The post layout simulation of the full phase shifter had reflection coefficient S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">11</inf> & S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">22</inf> of 4.5 dB or better, insertion coefficient S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">21</inf> & S <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">12</inf> of 30 dB or better, and a 1-dB compression point of 18 dBm or greater of input power for all frequencies (6-18GHz) and all phase shifting bits (for $0^{\mathrm{o}}$ to $360^{\mathrm{o}}$); which is similar to commercial GaAs phase shifters of today on the market (however they do not employ digital logic and require multiple pads for the on and off bits).

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.214
Teacher spread0.205 · 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 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

Citations2
Published2022
Admission routes1
Has abstractyes

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