A compact CMOS UWB LNA using tunable active inductors for WLAN interference rejection
Bibliographic record
Abstract
A compact 2.0-11.0GHz CMOS ultra-wideband (UWB) low-noise amplifier (LNA) using tunable active inductors for suppressing in-band (over 4.8-6.0 GHz) WLAN interference signals is presented. In the proposed LNA, the active inductor in series with a small capacitor forms an active LC resonator which rejects or notches the undesired signals at the resonance frequency. Employing multiple resonators in the LNA increases the rejection depth. Moreover, the tunability of the active inductors allows for notching the signals over a wide frequency range. Designed and simulated in a 90 nm digital CMOS process, the proposed LNA with such active inductors used in notch filters occupies a core chip-area of only 0.0182 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The LNA exhibits an average power gain of 16.5 dB over 2.0-11.0 GHz bandwidth while the rejection of unwanted WLAN interference signals is -44.8 dB at 5.81 GHz. The notch-frequency can be tuned in excess of 4.5-6.6 GHz, and the rejection depth can be increased to -87.5 dB, the highest rejection among the reported notch-filter UWB LNAs.
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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".