A Fully Integrated Low-Power Hall-Based Isolation Amplifier With IMR Greater Than 120 dB
Bibliographic record
Abstract
A CMOS Hall-based fully integrated isolation amplifier for differential voltage sensing is presented in this work. The design is fabricated in a$0.35 \mu \text{m}$CMOS process in which the high voltage (HV) side of the amplifier contains a coil driver while the low voltage (LV) side includes a Hall-effect sensor, low-noise amplifier, programmable-gain amplifier, filter, and chopper switches. Another Hall sensor performs the digital isolation using the on-off keying (OOK) technique for clock recovery. The introduced prototype achieves above 120 dB of isolation mode rejection (IMR) at 60 Hz and operates at a continuous isolation working voltage of 0.6 kV. It has also a maximum nonlinearity of 0.64 %, an input-referred offset of 1 mV, a 40 dB full-scale signal-to-noise ratio over a 40 kHz bandwidth, and a spurious-free dynamic range of 64 dB. The silicon area for each of the two separate dices employed for the HV and LV side of the isolation amplifier is 1 mm2with a power consumption of 7.6 mW and 9.9 mW respectively. The achieved miniaturized size of the isolation components, as well as their significantly low-power consumption, ensure the suitability of the proposed isolation amplifier for multi-channel readout circuit applications.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".