Spread spectrum design for aeronautical communication system with radio frequency interference
Bibliographic record
Abstract
Communication link maintenance is crucial for aeronautical systems operations. To ensure the reliability, robustness, and security of aeronautical communication links; we investigate various types of interference in aeronautical communication systems, which can be categorized into unintentional and intentional interference. An interference model is built and incorporated into an aeronautical communication link design, where spread spectrum techniques are employed to mitigate the interference effects. To ensure comprehensive communication link quality-of-services, a direct-sequence spread spectrum (DSSS) and frequency-hopping spread spectrum (FHSS) are investigated and compared. Turbo coding is employed in conjunction with DSSS/FHSS for overall interference mitigation and performance evaluations. As a practical use case, the Rician fading channel is evaluated when analyzing the data link performances for three phases of air traffic surface management: taxing, takeoff/landing, and departure/approach scenarios. The results demonstrate consideration for future NextGen avionics designs for security and maintenance of communication links between the aircraft and air traffic control operations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".