An Ultra-Low-Power Wideband Inductorless CMOS LNA With Tunable Active Shunt-Feedback
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Bibliographic record
Abstract
This work presents and analyzes the design of a 1-V ultra-low power, compact, and wideband low-noise amplifier (LNA). The proposed LNA uses common-gate (CG) NMOS and PMOS transistors as input devices in a complementary current-reuse structure. Low power input matching is achieved by employing an active shunt-feedback architecture while the current of the feedback stage is also reused by the input transistor to improve the current efficiency of the LNA. A forward body biasing (FBB) scheme is exploited to tune the feedback coefficient. The complementary characteristics of the input stage leads to partial second-order distortion cancellation. The proposed inductorless LNA is implemented in an IBM 0.13-μm 1P8M CMOS technology and occupies only 0.0052 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The measured LNA has a 12.3-dB gain 4.9-dB minimum noise figure (NF) input referred third-order intercept point (IIP3) of -10 dBm and 0.1-2.2-GHz bandwidth (BW), while consuming only 400 μA from a 1-V supply.
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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 | 0.001 |
| 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 it