AN improved technique for reducing baseband tones in sigma-delta modulators employing data weighted averaging algorithm without adding dither

Kuan Dar Chen, Tai Haur Kuo

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

The data weighted averaging (DWA) algorithm used in multibit sigma-delta modulators (SDM) is troubled by baseband tones resulting from component mismatch of the SDM's internal multi-bit digital-toanalog converter (DAC). In this paper, we analyze DAC baseband tones and lind them closely correlated to the number of unit elements used in the DAC. An improved technique is proposed for shifting the DAC tones away from the baseband without adding dither. For third-order sigma-delta modulators with an oversampling ratio (OSR) of 64 and either a nine-level or eight-level internal DAC with 0.5%-2% random component mismatches, simulation reveals that the DWA algorithm with the proposed technique can achieve nearly perfect first-order DAC noise shaping in the baseband and, on the average, 12 dB improved signal-to-(noise and distortion) ratio and 20 dB improved in-band distortion.

Original languageEnglish
Pages (from-to)63-68
Number of pages6
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Volume46
Issue number1
DOIs
Publication statusPublished - 1999 Dec 1

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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