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Design, implementation and testing of a hybrid algorithmic SigmaDelta A/D converter.

机译:混合算法SigmaDelta A / D转换器的设计,实现和测试。

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摘要

With the proliferation of miniaturized and autonomous sensors there has been an ever-increasing demand for reconfigurable analog-to-digital converter (ADC) architectures that can efficiently trade-off speed and resolution with its power consumption. This work describes design, implementation and testing of a dynamically reconfigurable ADC, which can be integrated as a smart front-end to low-power sensor. The ADC utilizes the principle of extended data conversion to achieve adaptation between a sigma-delta (SigmaDelta) and an algorithmic converter. Based on the input signal statistics, the adaptation can be directly parameterized and used for dynamic reconfigurability to achieve an optimum trade-off. A pseudo-differential ADC architecture has been implemented using switched-capacitor techniques and its functionality has been validated through extensive simulations. A prototype of the ADC has been fabricated using a standard 0.5mum CMOS process and has been tested to be fully functional. The ADC can achieve 8-bit in first-order SigmaDelta mode and 4-bit in algorithmic SigmaDelta mode and consumes only 8.6muW during operation.
机译:随着小型化和自主传感器的普及,对可重构的模数转换器(ADC)架构的需求不断增长,该架构可有效权衡速度和分辨率及其功耗。这项工作描述了可动态重新配置的ADC的设计,实现和测试,该ADC可集成为低功耗传感器的智能前端。 ADC利用扩展数据转换的原理来实现sigma-delta(SigmaDelta)和算法转换器之间的匹配。基于输入信号统计数据,可以直接对自适应参数进行参数化,并将其用于动态可重新配置性,以实现最佳折衷。伪差分ADC架构已使用开关电容器技术实现,其功能已通过广泛的仿真验证。 ADC的原型已使用0.5mum的标准CMOS工艺制造,并经过了全面测试。 ADC在一阶SigmaDelta模式下可以达到8位,在算法SigmaDelta模式下可以达到4位,并且在工作期间仅消耗8.6μW的功率。

著录项

  • 作者

    Kun, Cheong.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2005
  • 页码 77 p.
  • 总页数 77
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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