A behavioral simulation tool for continuous-time ΔΣ modulators

Francken, K.; Vogels, M.; Martens, Ewout; Gielen, Georges

doi:10.1145/774572.774607

Cited by 12 publications

(2 citation statements)

References 12 publications

(12 reference statements)

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“…System-level behavioural models for Delta-Sigma modulators implemented in SIMULINK are reported in Malcovati et al (2003) and Ruiz-Amaya et al (2005) and in C/C++ (Francken & Gielen, 2003;Francken, Vogels, Martens, & Gielen, 2002). For example, the behavioural macro-model for the fourth-order continuous-time Delta-Sigma modulator in Figure 2 is shown in Figure 3.…”

Section: System-level Behavioural Simulation Modelmentioning

confidence: 99%

Hierarchical statistical analysis of complex analog and mixed-signal systems

Webb

Tang

2014

International Journal of Electronics

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With increasing process parameter variations in nanometre regime, circuits and systems encounter significant performance variations and therefore statistical analysis has become increasingly important. For complex analog and mixed-signal circuits and systems, efficient yet accurate statistical analysis has been a challenge mainly due to significant simulation and modelling time. In the past years, there have been various approaches proposed for statistical analysis of analog and mixed-signal circuits. A recent work is reported to address statistical analysis for continuous-time Delta-Sigma modulators. In this article, we generalise that method and present a hierarchical method for efficient statistical analysis of complex analog and mixed-signal circuits while maintaining reasonable accuracy. At circuit level, we use the response surface modelling method to extract quadratic models of circuit-level performance parameters in terms of process parameters. Then at system level, we use behavioural models and apply the Monte-Carlo method for statistical evaluation of system performance parameters. We illustrate and validate the method on a continuous-time Delta-Sigma modulator and an analog filter.

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Section: System-level Behavioural Simulation Modelmentioning

confidence: 99%

Hierarchical statistical analysis of complex analog and mixed-signal systems

Webb

Tang

2014

International Journal of Electronics

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“…First, developments of methods and tools for CT ΣΔ modulators have addressed specific problems, such as efficient behavioral simulation [12], [14], [15] or topological synthesis by discrete-time to continuous-time transformation [16], eventually with coefficient scaling using simulation of ideal modulators [17].…”

Section: Introductionmentioning

confidence: 99%

Systematic Design of High-Resolution High-Frequency Cascade Continuous-Time Sigma-Delta Modulators

Tortosa¹,

Castro-López²,

Rosa³

et al. 2008

ETRI Journal

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Ramón Tortosa (email: castro@imse.cnm.es) was with CSIC-IMSE-CNM, Sevilla, Spain, and is currently with Analog Devices, Ireland.Rafael Castro-López (phone: +34955056666), email: castro@imse.cnm.es), J.M. de la Rosa (email: jrosa@imse.cnm.es), Elisenda Roca (email: eli@imse.cnm.es), Ángel Rodríguez-Vázquez (email: angel@imse.cnm.es), and F.V. Fernández (email: pacov@imse.cnm.es) are with CSIC-IMSE-CNM and University of Sevilla, Spain. I. IntroductionThe ever shrinking minimum feature size of CMOS technologies has triggered a revolution in integrated designs, from application-specific integrated circuits to entire systems on a single chip. Notwithstanding, a critical design productivity lag has been reported [1]. With a productivity growth rate of 21%, compared to a 58% complexity growth rate, design cost is increasing rapidly. Taking into account the ever demanding time-to-market pressures, this picture is clearly worrisome. For analog and/or mixed-signal design the situation is even worse for many reasons, the most significant being the lack of commercial computer-aided design tools and methodologies to efficiently support the analog design.The design methodology described in this paper tries to reduce this design gap for a class of circuits, namely, continuous-time (CT) cascade sigma-delta (ΣΔ) modulators (conceptually shown in Fig. 1), although some of the techniques and tools presented are applicable to other classes. The choice of this circuit class has been driven by the demands of new generations of high-speed wireless and wireline communication terminals, which require broadband analog-todigital converters capable of digitizing 20 MHz wideband signals with effective resolution over 12 bits and with minimum power consumption. Although most reported ΣΔ modulators have been implemented using discrete-time (DT) circuits, the increasing demand for broadband data communication systems has motivated the use of CT techniques. In addition to showing an intrinsic anti-aliasing filtering, CT ΣΔ modulators can potentially provide faster operation with lower power consumption than their DT counterparts [2], [3].

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Automated Macromodelling for Simulation of Signals and Noise in Mixed-Signal/RF Systems

Roychowdhury

2006

Analog Circuit Design

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A behavioral simulation tool for continuous-time ΔΣ modulators

Cited by 12 publications

References 12 publications

Hierarchical statistical analysis of complex analog and mixed-signal systems

Hierarchical statistical analysis of complex analog and mixed-signal systems

Systematic Design of High-Resolution High-Frequency Cascade Continuous-Time Sigma-Delta Modulators

Automated Macromodelling for Simulation of Signals and Noise in Mixed-Signal/RF Systems

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