Wideband Compensation of RF Vector Multiplier for RF Predistortion Systems
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Bibliographic record
Abstract
This brief presents a wideband compensation method that addresses the hardware imperfections exhibited in an RF vector multiplier (RF-VM) used for RF predistortion systems. A wideband RF-VM model is first developed to embed the various sources of imperfections in an RF-VM. A compensation method is then presented, followed by a newly proposed identification algorithm to determine the parameters of the compensation modules. Experimental results indicated that the use of the proposed compensation method can lead to an improved error vector magnitude of up to 10 dB, when the RF-VM generates a synthesized predistortion signal of 150-MHz modulation bandwidth. Furthermore, an improvement up to 3.9 dB in the adjacent channel leakage ratio was obtained when using the compensated RF-VM to linearize solid-state power amplifiers driven by wideband communication signals.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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