Reconfigurable Doherty Power Amplifier for Multifrequency Wireless Radio Systems
Bibliographic record
Abstract
This paper proposes a frequency-agile Doherty amplifier capable of efficiently amplifying multiband wireless signals located at widely spaced frequencies. Starting with the study of the load modulation concept in the Doherty technique and the various frequency-dependent components involved in its realization, this paper suggests a simplified and effective design methodology for the development of frequency-agile and reconfigurable Doherty amplifiers using a small number of electronically tunable devices. As a proof of concept, a reconfigurable Doherty power amplifier (PA) prototype is designed and fabricated to operate at 1.9, 2.14, and 2.6 GHz. The measurement results obtained using a continuous-wave signal revealed drain efficiencies of approximately 70% and 60% at the peak power and 6 dB back-off power, respectively, for the three targeted operating frequencies. In addition, the reconfigurable Doherty amplifier was successfully linearized when driven with 20-MHz wavelength code-division multiple access and longterm evolution signals, using a Volterra-based digital predistrtion algorithm which exploits a pruned Volterra series.
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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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".