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Record W2103427693 · doi:10.1109/iswcs.2012.6328505

Implementation of a Differential Chaos Shift Keying communication system in GNU radio

2012· article· en· W2103427693 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicChaos control and synchronization
Canadian institutionsÉcole de Technologie Supérieure
FundersÉcole de technologie supérieure
KeywordsSoftware-defined radioComputer scienceKeyingSynchronization (alternating current)WirelessBandwidth (computing)SoftwareCHAOS (operating system)Differential (mechanical device)Electronic engineeringTransmission (telecommunications)Radio frequencyMinimum-shift keyingPhase-shift keyingEmbedded systemReal-time computingBit error rateTelecommunicationsChannel (broadcasting)Engineering

Abstract

fetched live from OpenAlex

In this paper the first experimental chaos radio system using Differential Chaos Shift Keying is realized. The software design and implementation are proposed for the experimental Differential Chaos Shift Keying (DCSK) system on software defined radio (SDR) to perform in a real-time wireless transmission. The GNU Radio platform is used as a flexible and open-source platform for our implementation. In order to perform in real-time wireless scenarios, the proposed work implements a synchronization unit on the receiver side. Since our system is on a SDR, the bitrate, bandwidth and central frequency can be modified at ease. The experimental performance are discussed and compared to the theoretical predictions. Finally some trends concerning implementation are discussed.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.462

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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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

Quick stats

Citations45
Published2012
Admission routes2
Has abstractyes

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