Abstract:Despite their attractiveness as metastability filters, Schmitt-Triggers can suffer from metastability themselves. Therefore, in the selection or construction of a suitable Schmitt-Trigger implementation, it is a necessity to accurately determine the metastable behavior. Only then one is able to compare different designs and thus guide proper optimizations, and only then one can assess the potential for residual metastable upsets. However, while the state of the art provides a lot of research and practical char… Show more
“…The design goals for the closed-loop system are a short rise time t r to reduce transient simulation times in HSPICE and low overshoot for fast regulation of the setpoint I out,d . However, since these two aspects contradict one another according to (10) and (11), a compromise value of o = 10% is chosen. Solving (11) for ξ yields the damping ξ ≈ 0.5912.…”
Section: A Closed-loop Control (Control)mentioning
confidence: 99%
“…While latches exhibit only a single metastable state, the input of S/Ts remains connected all the time, which gives rise for a whole range of metastable voltages V M (V in ). Previous works investigated the metastable states and dynamics of S/Ts based on analytical models [6]- [9], detailed SPICE simulations [1], [10] and experimental measurements [11], [12]. However, efficient methods that facilitate a quantification of the metastability behavior in practice, have, to the best of the authors' knowledge, not been published.…”
Schmitt-Triggers (S/Ts) are often utilized to clean noisy analog signals at intermediate voltage values in digital circuits. However, they are vulnerable to metastability, which may cause the same undesired non-digital output behavior that was supposed to be removed in the first place. To enable an efficient characterization of static and dynamic metastability properties of S/Ts (e.g., the metastable voltages, the resolution time constants and the overall total resolution times), this work introduces multiple simulation approaches based on control theory, AC, DC and transient analyses. The accuracy and runtime of all methods are compared and discussed by applying them to an analytically describable idealized circuit model as well as three common circuit implementations. Altogether, this work represents a comprehensive resource for investigating the metastable behavior in S/Ts. Even more, the proposed methods are applicable beyond the S/T, enabling an efficient characterization of static and dynamic metastable behavior in general circuits as well.
“…The design goals for the closed-loop system are a short rise time t r to reduce transient simulation times in HSPICE and low overshoot for fast regulation of the setpoint I out,d . However, since these two aspects contradict one another according to (10) and (11), a compromise value of o = 10% is chosen. Solving (11) for ξ yields the damping ξ ≈ 0.5912.…”
Section: A Closed-loop Control (Control)mentioning
confidence: 99%
“…While latches exhibit only a single metastable state, the input of S/Ts remains connected all the time, which gives rise for a whole range of metastable voltages V M (V in ). Previous works investigated the metastable states and dynamics of S/Ts based on analytical models [6]- [9], detailed SPICE simulations [1], [10] and experimental measurements [11], [12]. However, efficient methods that facilitate a quantification of the metastability behavior in practice, have, to the best of the authors' knowledge, not been published.…”
Schmitt-Triggers (S/Ts) are often utilized to clean noisy analog signals at intermediate voltage values in digital circuits. However, they are vulnerable to metastability, which may cause the same undesired non-digital output behavior that was supposed to be removed in the first place. To enable an efficient characterization of static and dynamic metastability properties of S/Ts (e.g., the metastable voltages, the resolution time constants and the overall total resolution times), this work introduces multiple simulation approaches based on control theory, AC, DC and transient analyses. The accuracy and runtime of all methods are compared and discussed by applying them to an analytically describable idealized circuit model as well as three common circuit implementations. Altogether, this work represents a comprehensive resource for investigating the metastable behavior in S/Ts. Even more, the proposed methods are applicable beyond the S/T, enabling an efficient characterization of static and dynamic metastable behavior in general circuits as well.
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