Design of High-Order Type-II Delay-Locked Loops With a Fast-Settling-Zero-Overshoot Step Response and Large Jitter-Rejection Capabilities
Bibliographic record
Abstract
In this paper, a design method for high-order delay-lock loops (DLLs) is presented and verified through simulations and physical experiments. The general approach is based on selecting the closed-loop transfer function of the DLL, together with identifying the coefficients of the phase-detector and voltage-controlled delay line, and subsequently, solving for parameters of the loop filter of the DLL. Past DLL design approaches relied more on establishing a desired phase margin requirement than attempting to establish a desired input-output behavior. This limited the realization of DLLs to second order; largely a result of the complicated mathematics that arise. As the method proposed in this paper is based on selecting a desired closed-loop transfer function, the issues of stability or phase margin never come to the forefront. This paper will show how a DLL can be designed to achieve a fast-settling-zero-overshoot step response with large jitter-rejection capabilities. The method is simple and easy to execute. No optimization or iteration is necessary. The method is similar to the methods used to design active-RC filter circuits. A fully programmable experimental prototype involving a custom IC implemented in a 130-nm IBM CMOS process was constructed. DLLs with orders ranging from second to eighth will be investigated.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".