High efficiency delta-sigma transmitter architecture with gate bias modulation for wireless applications
Bibliographic record
Abstract
This paper proposes an efficient envelope delta-sigma based transmitter architecture with gate bias modulation for modern wireless communication systems. Using this architecture, envelope varying signals are converted to constant envelope signals. The constant envelope phase signal is up-converted and amplified utilizing high efficiency power amplifier, while the two level delta-sigma modulated envelope signal is used to switch the gate of the power amplifier. To validate the proposed technique, a prototype transmitter is implemented and evaluated. A Long-Term Evolution (LTE) uplink signal with the bandwidth of 3.84 MHz and the peak-to average power ratio (PAPR) of 7 dB is used to validate the linearity and efficiency performance of the transmitter setup. Using the LTE uplink signal, the polar architecture with modulated gate bias is able to achieve the average drain efficiency of 48% and PAE of 42% at the output power of 25.5dBm. The adjacent channel leakage ratio (ACLR) measured for this signal is less than -31dBc at 10 MHz offset from the center frequency of 2.35GHz. The measurement results are able to meet the spectrum mask without linearization techniques.
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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 | 0.000 | 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) | 0.001 | 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".