Novel reconfigurable fundamental/harmonic matching network for enhancing the efficiency of power amplifiers
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a novel tunable matching network scheme suitable for the design of electronically reconfigurable microwave circuits. These circuits enable the development of high performance and frequency agile RF front-end modules for multi-band and multi-carrier radios in cognitive wireless networks. In this paper, the tunable matching network includes a harmonic tuning feature essential to the design of high efficiency power amplifiers (HEPA). Two different types of electronic tunable devices, namely MEMS switches and semiconductors varactors, are used in the realization of the reconfigurable matching networks proof of concepts prototypes designed to operate in the band spanning from 1.8GHz to 2.7GHz. Both prototypes revealed a broad impedance tuning range (|Γ|> 0.85) along with low insertion loss (IL<1.3dB for high |Γ|). The varactor-based matching network was used to modulate the load impedance of a 10Watt HEPA operating in Class F−1. The control of the load impedance versus the input signal power allowed for significant efficiency improvement compared to conventional Class F−1 PA which attained about 18% at 6 dB back-off.
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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 | 0.001 | 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 | 0.001 | 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