Dynamic nonlinear distortion characterization of wireless radio transmitters
Bibliographic record
Abstract
In this paper, a realistic, accurate, versatile and thermal-free complex behavior test bed appropriate for dynamic nonlinear characterization of 3G transmitters is proposed. The obtained results show noticeable discrepancies compared to those measured using CW signals and vector network analyzers for both AM/AM and AM/PM curves. The accuracy of the dynamic characterization results obtained using the test-bed was firstly demonstrated through the deduction of a base band predistortion function intended for enhancing the power efficiency and linearity trade-off of the transmitter. Then, its second contributory was proven through the development of a tables-based (AM/AM and AM/PM) nonlinear behavior model that was able to precisely predict the output spectrum of the transmitter. The test bed was also used for the investigation of the memory effect in RF transmitters that become extensive as much as input signal bandwidth and operation power increase.
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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) | 0.000 | 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 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".