On the Modeling and Linearization of a Concurrent Dual-Band Transmitter Exhibiting Nonlinear Distortion and Hardware Impairments
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Bibliographic record
Abstract
This paper proposes a novel, complexity-reduced, dual-input, two-box model for the modeling and digital predistortion of a dual-band power amplifier (PA) in the presence of in-phase/quadrature (I/Q) modulator imperfections. The model is composed of two cascaded nonlinear blocks. The first block is implemented as a mildly nonlinear dual-input truncated Volterra filter, which includes second-order cross-terms for the mutual characterization of the dynamic mildly nonlinear memory effects exhibited by the dual-band PA and for the compensation of I/Q imperfections. The second block is implemented as a two-dimensional look-up table for the characterization of the static nonlinearity of the dual-band PA. The proposed model was evaluated through the excitation of the dual-band Doherty PA by two concurrent multi-carrier signals, applied at 880 MHz and 1978 GHz, in the presence of I/Q modulator imperfections. The experimental results showed the accurate performance of the proposed model in suppressing the adjacent channel error power, when compared to other state-of-the-art models, the computational complexity of the proposed model was significantly reduced, which economizes the resources utilized by the model for implementation on a digital signal processing/field-programmable gate array platform.
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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