A BIST scheme for SNDR testing of ∑Δ ADCs using sine-wave fitting

Luis Rolíndez*, Salvador Mir, Ahcéne Bounceur, Jean Louis Carbonéro

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Sigma-Delta (∑Δ) modulators have made possible the design of high-resolution Analogue-to-Digital Converters (ADCs) with relaxed analogue circuitry precision by moving most of the design complexity to the digital domain. However, testing these ∑Δ ADCs is becoming a costly task due to trends towards high-resolution implementations and associated increase in samples required to extract key specifications. In this paper, we propose a Built-In Self-Test (BIST) technique for high-resolution ∑Δ ADCs. The technique, mostly digital, moves most of the test complexity to the digital domain, that is in-line with the philosophy of ∑Δ modulation. Both the test signal generation and the output response analysis are performed on-chip. The stimulus, a sinusoid encoded in a binary bit stream, is chosen to have very high quality in the bandwidth of the converter with the quantization error laying outside of the analogue modulator's bandwidth. For the output response analysis, a sine-wave fitting algorithm is implemented on chip. For this, a digital sinusoidal stimulus of a very high precision is needed as a reference signal. In this paper, we generate this reference signal from the same input stimulus, by passing it through the digital filter already existing in the converter. Simulations results show the capability of this technique to obtain measurements of the SNDR (Signal-to-Noise-plus-Distortion Ratio) for a 16-bit audio ∑Δ ADC.

Original languageEnglish
Pages (from-to)325-335
Number of pages11
JournalJournal of Electronic Testing: Theory and Applications (JETTA)
Volume22
Issue number4-6
DOIs
StatePublished - Dec 2006
Externally publishedYes

Keywords

  • Analogue BIST
  • Analogue-to-digital converter
  • Mixed-signal testing
  • Sigma-delta modulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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