Optimizing Capacitance Ratio Assignment for Low-Sensitivity SC Filter Implementation

Soares, Carlos Fernando Teodósio; Filho, Antônio Carneiro de Mesquita; Petraglia, Antonio

doi:10.1109/tevc.2009.2025033

Cited by 6 publications

(7 citation statements)

References 19 publications

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“…Typically the matching error between two or more capacitors is minimized by constructing the capacitors using a bank of identical unit capacitors connected in parallel. Combined with a careful layout design, this technique can provide an accuracy of 0.1% in capacitance ratios [17]. The sensitivity analysis for the proposed design was carried out using Monte Carlo simulations with 500 iterations.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…At the same time, a new charge is transferred to parallel capacitors, therefore, the total charge stored on and after the second even sampling instant is expressible as (17) Similarly, on , is disconnected from and is connected to for charge sharing. After transferring charge to and , the cycle is restarted at the next even period by transferring the charge again to parallel and .…”

Section: B Second Decimation Stagementioning

confidence: 99%

See 1 more Smart Citation

Multirate Charge-Domain Filter Design for RF-Sampling Multi-Standard Receiver

Yli‐Kaakinen

Lehtinen

Renfors

2015

IEEE Trans. Circuits Syst. I

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This paper proposes a reconfigurable decimator architecture for a multi-standard receiver front-end. This architecture is based on direct radio-frequency bandpass sampling and analog discrete-time multirate signal processing. The overall front-end consists of a low-noise amplifier followed by a tunable charge-domain sampler, a reconfigurable decimator, and an analog-to-digital converter. The proposed decimator is constructed as a cascade of four switched-capacitor filtering stages. The frequency responses and the decimation factors of these stages are digitally controllable thus enabling high reconfigurability. The advantages of the proposed design are a high image rejection, a low overall implementation complexity, and high flexibility. The feasibility of the design is evaluated by computer simulations.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: B Second Decimation Stagementioning

confidence: 99%

Multirate Charge-Domain Filter Design for RF-Sampling Multi-Standard Receiver

Yli‐Kaakinen

Lehtinen

Renfors

2015

IEEE Trans. Circuits Syst. I

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“…In practice, heuristic method is most frequently applied for solving a nonlinear circuit realization problem, such as SA or genetic algorithms [4][5][6]8]. Hence, we may view these six equations as constraints, and based on them, an optimization problem can be formulated.…”

Section: Constraint Equationsmentioning

confidence: 99%

“…In general, finding the global minimum of a nonlinear optimization problem is uneasy if it is unknown whether the optimization problem is convex. In practice, heuristic method is most frequently applied for solving a nonlinear circuit realization problem, such as SA or genetic algorithms [4][5][6]8]. Heuristic algorithms are often stochastic and only capable of finding suboptimal solutions.…”

Section: Constraint Equationsmentioning

confidence: 99%

A comparative study on using linear programming and simulated annealing in the optimal realization of a SC filter

Shi

Zhang

2017

Circuit Theory & Apps

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The switched-capacitor (SC) circuit realization problem is traditionally solved by heuristic algorithms. However, an algorithm-like simulated annealing (SA) is stochastic, and its behavior in solving a non-convex optimization problem is unpredictable. In this paper, we make an investigation on using a deterministic and a stochastic optimization algorithm for solving the realization problem of the classical Fleischer-Laker SC filter. By considering minimum area as the design goal, we prove that the a linear programming-based deterministic algorithm is capable of finding a global minimum. With the global optimality established, we then use an SA algorithm to solve the same problem in purpose of investigating the search capability of the SA algorithm. We find that the stochastic SA algorithm cannot always reach a suboptimal solution with quality comparable with the linear programming result. Other issues like convergence speed and the percentage of arriving at the global minimum are examined as well. This research exposes that understanding the underlying optimization problem structure for the realization of SC circuits is of fundamental meaning for developing more efficient heuristic algorithms.

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“…Since 1980's, automatic synthesis of SC filter circuits has been studied in the literature. A variety of optimization methods have been proposed, most of which belong to meta-heuristics [2]. The main reason lies in the nondeterminism of the underlying problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal realization of switched-capacitor circuits by symbolic analysis

Shi

2015

2015 28th IEEE International System-on-Chip Conference (SOCC)

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In modern systems-on-chip (SOC) technology analog modules are costly to design. This paper studies an optimal realization of switched-capacitor (SC) circuit given a transfer function (TF) in the z-domain. Among the multiple possibilities of capacitance assignments, the proposed method is more controllable in arriving at a desirable SC realization. The underlying technique applies a symbolic method to derive a cancellation-free symbolic representation for a given SC circuit topology, then uses the automatically generated symbolic coefficient expressions to synthesize a set of numerical capacitance values suitable for physical implementation. Examples demonstrate the effectiveness of the proposal.

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Optimizing Capacitance Ratio Assignment for Low-Sensitivity SC Filter Implementation

Cited by 6 publications

References 19 publications

Multirate Charge-Domain Filter Design for RF-Sampling Multi-Standard Receiver

Multirate Charge-Domain Filter Design for RF-Sampling Multi-Standard Receiver

A comparative study on using linear programming and simulated annealing in the optimal realization of a SC filter

Optimal realization of switched-capacitor circuits by symbolic analysis

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