A 0.13μm CMOS low-noise amplifier using resistive feedback current reuse technique for 3.1-10.6 GHz ultra-wideband receivers
Bibliographic record
Abstract
This paper presents the design of a 3.1-10.6GHz ultra-wideband (UWB) low noise amplifier (LNA) using resistive feedback and current reuse technique for ultra-wideband receiver. Low noise amplifier is the foremost, challenging and indispensable building block to build a receiver. The current reuse technique is addressed to optimize noise performance and power efficiency while maintaining a good power gain and input/output matching. The LNA was designed and implemented using IBM 0.13μm CMOS technology. Simulation results show a power gain (S21) of 12.5dB, a good noise figure (NF) of 3.05dB and an input return loss (S11) of less than -16.5dB. The LNA occupies an area of 0.11mm2 and consumes 11.08mW of power for the 1.4V power supply. Thus this LNA should be readily useful for ultra-wideband receiver systems.
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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 | 0.001 |
| 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".