Tunable RF bandpass delta-sigma digital receivers with millimetre-wave sampling clocks
Bibliographic record
Abstract
This thesis presents the design and implementation of direct digitizing analog-to-digital converters for software-defined radio receivers. A new design methodology in the s-domain for continuous-tithe DeltaSigma ADCs is presented. The system level design is carried out entirely in continuous-time by appropriately linearizing the digital components of the loop. A new circuit topology is introduced in the loop filter, which provides higher linearity and lower noise than previously reported filters. The filter is based on the combination of a MOSFET and HBT transistor, which also allows for low power operation. The feasibility of mm-wave sampling is investigated in both SiGe BiCMOS and nanoscale CMOS technologies. The critical building blocks of the mm-wave analog-to-digital converter are implemented in SiGe BiCMOS and nanoscale CMOS. New topologies for the single-bit quantizer and clock distribution network are proposed in CMOS. The CMOS transitnpeclance amplifier proves the best solution for broadband ainplifieatioa in nanoscale technologies, where the power supply must be kept lower than 1.2 V.A novel latch topology employing devices with low and high VT allows for operation at 40-Gb/s from 1.2 V with a record low power dissipation per latch. The design techniques presented in this work lead to the first analog-to-digital converter operating at mm-wave frequencies in any semiconductor technology. The 40-GHz continuous-time SigmaDelta ADC centered at 2 GHz achieves 59.8 dB of SNR over 60 MHz of signal bandwidth. The integration of the ADC with a 40-GHz PLL results in the world's first direct sampling mm-wave receiver. A comparison of measured receiver performance when external and on-chip clock source is employed shows no significant degradatioil for SNR of 60 dB. Furthermore, experimental results on a tunable digital receiver centered at 5 GHz and clocked at 40 GHz prove that the resolution of a continuous-time bandpass DeltaSigma modulator is a strong function of the filter quality factor.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".