Simulation and Modeling of Underwater Acoustic Communication Channels With Wide Band Attenuation and Ambient Noise
Bibliographic record
Abstract
Underwater acoustic communication uses acoustic waves to transmit and receive data under the water. Simulation of underwater acoustic communication is challenging due to impairments, including attenuation, multipath propagation, noise and Doppler spread. In this thesis, several solutions are proposed and compared considering multipath attenuation and ambient noise. These solutions are divided into two groups. One group is in the time domain and the other is in the frequency domain. The approaches in the time domain and frequency domain all take into account the attenuation calculation along with white and colored noise. Not only incoherent but also coherent attenuation are implemented. The bit error rate versus energy per bit to noise power spectral density ratio (Eb/N0) is applied for evaluation. The main conclusion of this work is that the coherent models with colored noise in frequency domain are more similar to the situation of real environment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".