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This paper discusses the architectural choices to design noise-shaped successive approximation register (NS-SAR) analog-to-digital converters (ADCs) with high signal-to-quantization noise ratio (SQNR). It also covers the operating principle, limitations, and improvements achieved using the noise shaping technique. The NS-SAR suffers from quantizer saturation at high input amplitudes, where filtered quantization noise gets added to the input signal thereby saturating the SAR quantizer. We have analyzed this effect in a first-order NS-SAR ADC. We have also derived an expression for the peak loop filter output when the NS-SAR ADC is saturated. Macromodel simulation results are also provided to validate our analysis.

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Analysis of SQNR Degradation in Noise-Shaped SAR Analog-to-Digital Converters at High Input Signal Amplitudes

  • 会议论文

  • 发表日期：

    2025年

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  • Sekhar Godavarthi,
  • Saravana Manivannan

摘要

This paper discusses the architectural choices to design noise-shaped successive approximation register (NS-SAR) analog-to-digital converters (ADCs) with high signal-to-quantization noise ratio (SQNR). It also covers the operating principle, limitations, and improvements achieved using the noise shaping technique. The NS-SAR suffers from quantizer saturation at high input amplitudes, where filtered quantization noise gets added to the input signal thereby saturating the SAR quantizer. We have analyzed this effect in a first-order NS-SAR ADC. We have also derived an expression for the peak loop filter output when the NS-SAR ADC is saturated. Macromodel simulation results are also provided to validate our analysis.