Recent Advances in Linearization Techniques for Frequency Multiplier-Based Transmitters Driven With Vector-Modulated Signals
Bibliographic record
Abstract
The shift toward millimeter-wave and sub-terahertz frequencies in communication systems presents significant challenges in transmitter design, particularly in generating wideband, high-data-rate signals with adequate power and linearity. Frequency multiplier (FX)-based architectures have emerged as promising solutions for signal generation at these frequencies, but the inherent nonlinearity of FXs poses challenges to maintaining signal integrity. This article reviews recent advancements in digital predistortion (DPD) techniques aimed at mitigating the nonlinear distortions in FX-based transmitters, particularly when driven by vector-modulated signals. By providing a comparative analysis of state-of-the-art DPD approaches and highlighting key innovations, this work offers critical insights into the strengths and limitations of current methods and outlines future research directions for enhancing the linearization of FX-based transmitters in next-generation communication systems.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".