Autonomous Event Driven Model of Second Order Voltage Switched Charge Pump PLL

Ali, Ehsan; Haddad, Fayrouz; Rahajandraibe, Wenceslas; Nizamani, Nasreen; Hangmann, Christian; Hedayat, Christian

doi:10.1109/tcsii.2020.2992601

Cited by 2 publications

(3 citation statements)

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“…In the last state, which is S 0 , the two clocks' signals arrive together, there is no current from the CP, so this state has only one segment, which is just like the second segment in state S 1 , and the steps are as same as ( 3)- (7) in state S 1 .…”

Section: Proposed Event-driven Modelingmentioning

confidence: 99%

“…Among all different kinds of behavioral simulation methods, the event-driven (ED) model is powerful and efficient to analyze nonlinear behaviors of the mixed-signal PLLs. [4][5][6][7] In the ED model, we can model the PFD by defining three states, S 0 , S 1 , S 2 of the PFD, in which, the events include the rising (falling) edges of the reference clock and the divider output. The switch between different states occurs during the rising (falling) edges approaching, where we can define the time that the occurrence of the rising (falling) edges for the reference clock and the divider output are t r and t d respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Among all different kinds of behavioral simulation methods, the event‐driven (ED) model is powerful and efficient to analyze nonlinear behaviors of the mixed‐signal PLLs 4–7 . In the ED model, we can model the PFD by defining three states, S 0 , S 1 , S 2 of the PFD, in which, the events include the rising (falling) edges of the reference clock and the divider output.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An event‐driven model of fractional‐N CPPLLbasedFMCWsynthesizers

Li,

Mawuli,

Xing

et al. 2023

Int J Numerical Modelling

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This paper proposes an improved event‐driven (ED) model to improve the simulation efficiency of a mixed‐signal charge‐pump phase locked loop (CP‐PLL) design for a frequency‐modulated continuous‐wave (FMCW) chirp generation. The improvement mainly comes into three parts. First, we update the data only when it changes during the previous trigger. Second, we save the data at the triggering moment of the reference clock to achieve uniform sampling for better noise characterization. Furthermore, we propose a simplified model that is specifically optimized for the third‐order loop filter (LF). This article presents a detailed design flow of the improved ED model, and we apply it to the simulation of the FMCW chirp generation. Compared to the conventional transistor‐level simulation, our proposed model reduces the simulation time to less than 1 s, which leads to a reduction of the simulation time by five or six orders of magnitude.

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Section: Proposed Event-driven Modelingmentioning

confidence: 99%