Dedicated system-level simulation of ΔΣ modulators

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

doi:10.1109/cicc.2001.929799

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…The optimality is guaranteed by thorough search of the entire design space, as opposed to other design automation software which only allow a user-specified architecture to be designed [8] or a set of user-designed architectures to be browsed in search for a set optimum [7], which compared to the entire design space is a local optimum.…”

Section: Introductionmentioning

confidence: 99%

“…The spread of ∆Σ designs and the absence of an accurate analytical model for their non-linear behavior caused a rapid evolution of dedicated simulation software. There are a number of simulators readily available, some of them as free software toolboxes [6] and some developed in universities [7], [8]. However, even using fast, dedicated simulators, it is all but impossible for a designer to explore the entire range topology and design parameters that can yield the optimal solution for a target dynamic range (DR) or peak signal-to-noise+distortion ratio (SNDR).…”

Section: Introductionmentioning

confidence: 99%

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Optimal design of delta-sigma ADCs by design space exploration

Bajdechi

Gielen

Huijsing

2002

Proceedings of the 39th Conference on Design Automation - DAC '02

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An algorithm for architecture-level exploration of ∆Σ ADC design space is presented. The algorithm finds an optimal solution by exhaustively exploring both single-loop and cascaded architectures, with single-bit or multi-bit quantizer, for a range of oversampling ratios. A fast filter-level step evaluates the performance of all loop-filter topologies and passes the accepted solutions to the architecture-level optimization step which maps the filters on feasible architectures and evaluates their performance. The power consumption of each accepted architecture is estimated and the best top-ten solutions in terms of the ratio of peak SNDR versus power consumption are further optimized for yield. Experimental results for two different design targets are presented. They show that previously published solutions are among the best architectures for a given target but that better solutions can be designed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal design of delta-sigma ADCs by design space exploration

Bajdechi

Gielen

Huijsing

2002

Proceedings of the 39th Conference on Design Automation - DAC '02

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“…Due to the oversampling nature of modulators, a large number of clock cycles are needed for one output sample [2]. The long CPU times needed to simulate these modulators with a circuitlevel simulator has led to the use of high-level (behavioral) simulation to speed up the analysis ( [3], [4], [5]) and even the synthesis ( [6], [7]) phase. All these efforts have, however, been concentrated on the discrete-time case.…”

Section: Introductionmentioning

confidence: 99%

A behavioral simulation tool for continuous-time ΔΣ modulators

Francken

Vogels

Martens

et al. 2002

Proceedings of the 2002 IEEE/ACM International Conference on Computer-Aided Design - ICCAD '02

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Circuit-level simulation of modulators is a timeconsuming task (taking one or more days for meaningful results). While there are a great variety of techniques and tools that speed up the simulations for discrete-time (DT) modulators, there is no rigorous methodology implemented in a tool to efficiently simulate and design the continuoustime (CT) counterpart. Yet, in todays low-power, high-accuracy and/or very high-speed demands for A-to-D converters, designers are often forced to resort to the use of CT topologies. In this paper, we present a method for the high-level simulation of continuous-time modulators that is based on behavioral models and which exhibits the best trade-off between accuracy, speed and extensibility compared to other possible techniques that are reviewed briefly in this work. A user-friendly tool, implementing this methodology, is then presented. Nonidealities such as finite gain, finite GBW, output impedance and also nonlinearities such as clipping, harmonic distortion and the important effect of jitter are modeled. Finally, experiments were carried out using the tool, exploring important design trade-offs.

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“…The spread of designs and the absence of an accurate analytical model for their nonlinear behavior caused a rapid evolution of dedicated simulation software. There are a number of simulators readily available, some of them as free software toolboxes [6] and some developed in universities [7], [9]. However, even using fast, dedicated simulators, it is all but impossible for a designer to explore the entire range of topology and design parameters that can yield the optimal solution for a target dynamic range (DR) or peak signal-to-noise+distortion ratio (SNDR).…”

Section: Introductionmentioning

confidence: 99%

Systematic Design Exploration of Delta-Sigma ADCs

Bajdechi

Gielen

Huijsing

2004

IEEE Trans. Circuits Syst. I

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Abstract-An algorithm for architecture-level exploration of the 16 A/D converter (ADC) design space is presented. Starting from the desired specification, the algorithm finds an optimal solution by exhaustively exploring both single-loop and cascaded architectures, with a single-bit or multibit quantizer, for a range of oversampling ratios. A fast filter-level step evaluates the performance of all loop-filter topologies and passes the accepted solutions to the architecture-level optimization step which maps the filters on feasible architectures and evaluates their performance. The power consumption of each accepted architecture is estimated and the best top-ten solutions in terms of the ratio of peak signal-to-noise+distortion ratio versus power consumption are further optimized for yield. Experimental results for two different design targets are presented. They show that previously published solutions are among the best architectures for a given target but that better solutions can be designed as well.Index Terms-Analog-to-digital converter (ADC), analog-to-digital, computer-aided design (CAD), delta-sigma, design automation.

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Dedicated system-level simulation of ΔΣ modulators

Cited by 3 publications

References 7 publications

Optimal design of delta-sigma ADCs by design space exploration

Optimal design of delta-sigma ADCs by design space exploration

A behavioral simulation tool for continuous-time ΔΣ modulators

Systematic Design Exploration of Delta-Sigma ADCs

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