Low-Voltage Low-Power Low-Noise Amplifier for Wireless Sensor Networks
Bibliographic record
Abstract
This work presents a methodology for designing CMOS low-voltage low-power low-noise amplifiers (LNAs) based on the inductively degenerated common-source topology. To demonstrate the application of the proposed method, two LNAs operating at 900MHz and 2.4GHz are designed and simulated using a 90nm CMOS process. The 900MHz (2.4GHz) design has noise figure of less than 5.5dB (5dB) over the entire band of interest, a power gain of 12dB (13dB), input 1dB compression point of -20dBm (-18dBm), input-referred third-order intercept point of -10dBm (-9dBm), and consumes 1.6mW (2.8mW) from a 0.45V (0.5V) supply. Both LNAs are matched to 50Omega input and output impedances. The LNAs are designed for operation in the industrial, scientific, and medical (ISM) band and are intended for systems using the IEEE 802.15.4 (Zigbee) low-power standard
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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) | 0.001 | 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".