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Record W4402592320 · doi:10.1109/ojcoms.2024.3463568

On the Role of Reflectarrays for Interplanetary Links

2024· article· en· W4402592320 on OpenAlexafffund
Eray Güven, Pablo Camacho, Elham Baladi, Güneş Karabulut Kurt

Bibliographic record

VenueIEEE Open Journal of the Communications Society · 2024
Typearticle
Languageen
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsPolytechnique Montréal
FundersCanada Research Chairs
KeywordsInterplanetary spaceflightAstrobiologyAerospace engineeringPhysicsEngineeringPlasmaSolar wind

Abstract

fetched live from OpenAlex

Interplanetary links (IPL) serve as crucial enablers for space exploration, facilitating secure and adaptable space missions. An integrated IPL with inter-satellite communication (IP-ISL) establishes a unified deep space network, expanding coverage and reducing atmospheric losses. In order to evaluate the performance of both realistic and cost efficient IP-ISL scenario, the challenges, including irregularities in charged density, hardware impairments, and hidden celestial body brightness are analyzed with a reflectarray-based IP-ISL between Earth and Moon orbiters. In this regard, free-space channel is modeled with the charge density irregularities that disturb the angle of arrival. A discretize solution for noise temperature analyze in celestial body brightness is given with average beam occupancy. Lastly, the impact of aggregated phase noise, in-phase and quadrature imbalance and non-linear amplifier are modeled with generalized stochastic hardware impairments. As a solution, the ideal and non-ideal compensation of angle of arrival with the perfect knowledge of it is analyzed. It is observed that <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$10^{-8}$ </tex-math></inline-formula> order severe hardware impairments with intense solar plasma density drops an ideal system’s spectral efficiency (SE) from <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 38~\textrm {(bit/s)/Hz}$ </tex-math></inline-formula> down to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0~\textrm {(bit/s)/Hz}$ </tex-math></inline-formula>. An ideal full angle of arrival fluctuation recovery with full steering range achieves <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 20~\textrm {(bit/s)/Hz}$ </tex-math></inline-formula> gain and a limited beamsteering with a numerical reflectarray design achieves at least <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim 1~\textrm {(bit/s)/Hz}$ </tex-math></inline-formula> gain in severe hardware impairment cases. As a result, we assess the feasibility of an integrated IP-ISL system design to establish a unified deep space network, expanding coverage and reducing atmospheric losses between the Moon and Earth in terms of spectral efficiency, addressing real-life deep space communication challenges.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.476

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 science0.0030.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.297
Teacher spread0.261 · 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 designNot applicable
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
Published2024
Admission routes2
Has abstractyes

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