A Novel High-Pass Delta–Sigma Modulator-Based Digital-IF Transmitter With Enhanced Performance for SDR Applications
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Bibliographic record
Abstract
This brief presents a new transmitter architecture based on digital-intermediate frequency (IF) high-pass delta-sigma modulator (HPDSM). The proposed digital-IF transmitter topology utilizes a novel complex HPDSM topology to address the high quantization-noise power problem in Cartesian band-pass BPDSM and HPDSM-based digital-IF transmitters, without increasing the oversampling ratio of the signal or the clock rate of the system. To evaluate the performance of the new digital-IF transmitter system, a comparison with its Cartesian band-pass and high-pass counterparts, in terms of signal to noise and distortion radio (SNDR) and coding efficiency, was established. A simulation using 8 dB peak to average power ratio long term evolution signals with 1.24-MHz bandwidth showed that by integrating the proposed second-order complex HPDSM digital-IF in the transmitter, the power of the quantization noise is significantly reduced. The transmitter digital blocks were implemented on the BEEcube software-defined radio prototyping platform. The input signal is encoded by the new HPDSM topology and is up-converted and then fed to the inverse class-F switch-mode power amplifier. An overall efficiency of 12% was achieved by the proposed topology. Moreover, the output signal SNDR reached 37.8 dB and the adjacent channel leakage ratio at the lower and upper 1.25-MHz offset frequencies measured is equal to -35 dBc.
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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) | 0.001 | 0.001 |
| 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