Data Rate Enhancement in Ultrasonic Data Telemetry Links: Surpassing Conventional Limits to Achieve Up to 2.2 Mbps Using a 1 MHz Transducer Pair
Bibliographic record
Abstract
This paper presents the design, simulation, and experimental evaluation of an ultrasonic data telemetry scheme with significant data rate enhancements. In the proposed idea a symbol-wise approach is employed that achieves a data rate of up to 2.2 Mbps and a symbol rate of 250 kBd. using a single 1 MHz transducer pair. As a part of the proposed scheme, an ASIC receiver circuit is proposed that introduces a baseline crossing method for efficient data recovery. The receiver circuit is designed in TSMC 180-nm CMOS technology, consumes 3.97 µW of power with a supply voltage of 1.2V and occupies a silicon area of 76 µm by 24 µm. In addition, the experimental results validate the effectiveness of the design, with a bit error rate of 7.8×10⁻⁴, providing a high-performance and power-efficient solution for ultrasonic data telemetry links.
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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 | 0.000 | 0.001 |
| Open science | 0.001 | 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".