Remote frequency calibration of passive wireless microsensors and transponders using injection-locked phase-locked loop
Bibliographic record
Abstract
This paper proposes a new remote frequency calibration method that allows a passive wireless microsensor to adjust the oscillation frequency of its local oscillator using a calibrating reference signal sent by its reader. The reference signal is transmitted wirelessly by the reader in the form of a modulated tone. Frequency calibration is achieved by employing an injection-locking phase-locked loop that adjusts the oscillation frequency of the relaxation oscillator of the microsensor to that of the reference signal. The hysteresis of the relaxation oscillator is created by a novel mono-stable current pulse generating circuit also proposed in this paper. The proposed remote frequency calibration system has been designed in TSMC-0.18µm 1.8V 6-metal 1-poly CMOS technology and analyzed using SpectreRF from Cadence Design Systems with BSIM3V3 device models. The power consumption of the VCO is 525 nW while that of the system is 912 nW.
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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".