A 24-GHz DCO With High-Amplitude Stabilization and Enhanced Startup Time for Automotive Radar
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Bibliographic record
Abstract
In this paper, the optimized design strategies for the implementation of a CMOS digitally controlled oscillator (DCO) are investigated. Moreover, the boosting mechanism for a DCO with and without negative resistance is considered. The proposed design methodology is based on an in-depth mathematical analysis of the startup condition and amplitude of oscillation. This approach results in an optimized topology for a Colpitts Clapp-DCO (CC-DCO). The improved performance is achieved through the negative resistance boosting mechanism. The negative resistance enhances the startup time and increases amplitude stabilization across a wide tuning range (TR). Moreover, it improves the phase noise (PN) performance while suppresses the amplitude-to-phase conversion. The proposed 24-GHz CMOS enhanced CC-DCO (ECC-DCO) is implemented in 65-nm TSMC CMOS process. It can effectively reduce the startup time by 41%. Also, it boosts and stabilizes the amplitude across a TR of 29%. The amplitude varies by 1.5% across the 22-29-GHz TR. The ECC-DCO consumes 12.8 mW. It shows a PN of -106 dBc/Hz at 1-MHz offset frequency and achieves -185-dBc/Hz figure of merit (FoM) and -194-dBc/Hz FoM for tuning.
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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) | 0.001 | 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