A 450 mV supply self-biased wideband inductorless balun LNA for sub-GHz applications
Bibliographic record
Abstract
This paper presents a CMOS wideband LNA topology operating under a 450 mV voltage supply in the analog TV white spaces frequency band from 54 MHz to 862 MHz. It could be used in a wideband RFID or energy harvesting communication network applications. The proposed circuit is self-biased, uses no inductors and it has a cascaded amplifier in the noise canceling branch for a better trade-off of noise figure (NF), S11 and IP3. The 450 mV operation is achieved by a proper choice of the basic amplifiers that compose the noise canceling topology. This paper demonstrates the use of low-VT PMOS transistors and zero-VT NMOS transistors in a RF circuit, in order to be self-biased in a 130 nm CMOS technology PDK from Global Foundries. The post-layout simulations included bondwire inductances and pad capacitances parasitics for more realistic results. Under such a low supply, the LNA circuit is capable of Voltage Gain > 17 dB, NF <; 6.2 dB and S11 <; -10.3 dB, in the 54 MHz - 862 MHz range. The overall LNA power consumption is only 2 mW.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".