A Mutual Distortion and Impairment Compensator for Wideband Direct-Conversion Transmitters Using Neural Networks
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Bibliographic record
Abstract
This paper presents a one-step solution for transmitter nonlinearity estimation and linearization control in the presence of I/Q modulator imperfections for wideband direct-conversion transmitters. These transmitters include power amplifiers with frequency-dependent nonlinearities and modulator imperfections. With the proposed two-hidden-layer feedforward neural network, traditional two-step characterization and specially designed training signals are not required in the parameter estimation stage; and, estimation can be done without interrupting the operation of the transmitter. The measurement results and comparisons of the proposed neural network with the existing state-of-the-art methods show the superior performance in the presence of extreme RF impairments.
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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) | 0.000 | 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 it