High Gain 0.25 μm GaN HEMT Based MMIC LNA for GNSS Applications
Why this work is in the frame
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Bibliographic record
Abstract
In this paper, two-stages low noise amplifier (LNA) based on common-source with feedback topology was designed using ALGAN/GAN 0.25um high electron mobility transistor (HEMT) technology on silicon carbide (SiC) substrate. The LNA is designed to be employed for Global Navigation Satellite System (GNSS) Applications. The feedback circuit topology is used in the design to achieve a noise figure of 1 - 1.2 dB with a small signal gain of 33-34 dB. Post-Layout simulation results demonstrate that the input return loss is -11 to -14 dB and the output return loss is -16 to -18 dB across the entire frequency range of 1.5 GHz to 1.7 GHz. The LNA has an output P1 dB and OIP3 of 18 dBm and 28 dBm, respectively which illustrated high linear performance. The power consumption is 0.7 W using a voltage supply of 5.5 V. The total chip size is 2.6 mm x 2.2 mm including the pads.
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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) | 0.001 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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