Review on jitter terminology and definitions

Balestrieri, E.; Picariello, Francesco; Rapuano, Sergio; Tudosă, Ioan

doi:10.1016/j.measurement.2019.05.047

Cited by 22 publications

(10 citation statements)

References 15 publications

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“…We assume that an uncertain component a k = a + Δa k is encountered in the system and noise matrices and can be thought of in particular as an uncertain sampling time. 46 We think that the random component Δa k has zero mean and characterize it with the fractional timing error 𝛿 k = Δa k ∕a.…”

Section: Simulations and Experimental Verificationmentioning

confidence: 99%

“…As an example, we consider a two‐state uncertain system. We assume that an uncertain component

{a}_k=a+\Delta {a}_k

is encountered in the system and noise matrices and can be thought of in particular as an uncertain sampling time 46 . We think that the random component

\Delta {a}_k

has zero mean and characterize it with the fractional timing error

{\delta}_k=\Delta {a}_k/a

.…”

Section: Simulations and Experimental Verificationmentioning

confidence: 99%

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Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors

Solórzano

Shmaliy

2022

Adaptive Control & Signal

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Summary This article considers uncertain disturbed systems represented under initial and measurement errors in linear discrete‐time state‐space. A novel bias‐constrained a posteriori H2$$ {H}_2 $$ optimal unbiased finite impulse response (OUFIR) state observer is derived, in which the requirements of the initial state is removed by embedding the unbiasedness constraint. A suboptimal bias‐constrained H2$$ {H}_2 $$‐FIR filtering algorithms using linear matrix inequality is also obtained. Based on an example of uncertain system and error matrices, it is shown that the H2$$ {H}_2 $$‐OUFIR state observer offers a better tradeoff between the accuracy and robustness than the OFIR filter, maximum likelihood FIR filter, and Kalman filter. It loses in robustness to the unbiased FIR filter, but provides a better accuracy. The performance of the proposed filter is verified experimentally based on daily glucose measurements in diabetic persons with timing jitter.

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Section: Simulations and Experimental Verificationmentioning

confidence: 99%

“…As an example, we consider a two‐state uncertain system. We assume that an uncertain component

{a}_k=a+\Delta {a}_k

is encountered in the system and noise matrices and can be thought of in particular as an uncertain sampling time 46 . We think that the random component

\Delta {a}_k

has zero mean and characterize it with the fractional timing error

{\delta}_k=\Delta {a}_k/a

.…”

Section: Simulations and Experimental Verificationmentioning

confidence: 99%

Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors

Solórzano

Shmaliy

2022

Adaptive Control & Signal

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“…The phase noise characteristic of the RF source (Rohde and Schwarz SMA100B RF signal generator) used in the experimental tests as a fundamental reference was preliminarily characterized using the Agilent E5052B signal source analyzer (SSA), as shown in Figure 5 . The jitter [ 33 ] of the reference signal, integrated in the 10 Hz–1 MHz band, resulted in 17.46 fs rms.…”

Section: Polfel Llrf System Prototypementioning

confidence: 99%

Experimental Evaluation of Sub-Sampling IQ Detection for Low-Level RF Control in Particle Accelerator Systems

Kowalski

Gibiino

Szewiński

et al. 2021

Sensors

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The low-level radio frequency (LLRF) control system is one of the fundamental parts of a particle accelerator, ensuring the stability of the electro-magnetic (EM) field inside the resonant cavities. It leverages on the precise measurement of the field by in-phase/quadrature (IQ) detection of an RF probe signal from the cavities, usually performed using analogue downconversion. This approach requires a local oscillator (LO) and is subject to hardware non-idealities like mixer nonlinearity and long-term temperature drifts. In this work, we experimentally evaluate IQ detection by direct sampling for the LLRF system of the Polish free electron laser (PolFEL) now under development at the National Centre for Nuclear Research (NCBJ) in Poland. We study the impact of the sampling scheme and of the clock phase noise for a 1.3-GHz input sub-sampled by a 400-MSa/s analogue-to-digital converter (ADC), estimating amplitude and phase stability below 0.01% and nearly 0.01°, respectively. The results are in line with state-of-the-art implementations, and demonstrate the feasibility of direct sampling for GHz-range LLRF systems.

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“…Key performance metrics of the clocking system include the jitter generation, jitter propagation along with the common metrics for phase lock loops (PLLs) and clock networks [19]. Typically a jitter mask is defined in industry standards to describe the requirement of SerDes clock performance [20].…”

Section: Clockingmentioning

confidence: 99%

System Level Optimization for High-Speed SerDes: Background and the Road Towards Machine Learning Assisted Design Frameworks

Song¹,

Sui²

2019

Electronics

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This decade has witnessed wide use of data-driven systems, from multimedia to scientific computing, and in each case quality data movement infrastructure is required, many with SerDes as a cornerstone. On the one hand, HPC and machine learning cloud infrastructure carry exabytes of data in a year through the backplanes of data centers. On the other hand, the growing need for edge computing in the IoT places a tight envelope on the energy per bits. In this survey, we give a system level overview of the common design challenges in implementing SerDes solutions under different scenarios and propose simulation methods benefiting from advanced machine learning techniques. Preliminary results with the proposed simulation platform are demonstrated and analyzed through machine learning based design methodologies.

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Review on jitter terminology and definitions

Cited by 22 publications

References 15 publications

Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors

Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors

Experimental Evaluation of Sub-Sampling IQ Detection for Low-Level RF Control in Particle Accelerator Systems

System Level Optimization for High-Speed SerDes: Background and the Road Towards Machine Learning Assisted Design Frameworks

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Review on jitter terminology and definitions

Cited by 22 publications

References 15 publications

Uncertain disturbed systems: RobustH2‐OUFIR filtering under measurement errors

Uncertain disturbed systems: RobustH2‐OUFIR filtering under measurement errors

Experimental Evaluation of Sub-Sampling IQ Detection for Low-Level RF Control in Particle Accelerator Systems

System Level Optimization for High-Speed SerDes: Background and the Road Towards Machine Learning Assisted Design Frameworks

Contact Info

Product

Resources

About

Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors

Uncertain disturbed systems: RobustH₂‐OUFIR filtering under measurement errors