• DocumentCode
    1174721
  • Title

    Multistage sigma-delta modulation

  • Author

    Chou, Wu ; Wong, Ping Wah ; Gray, Robert M.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    35
  • Issue
    4
  • fYear
    1989
  • fDate
    7/1/1989 12:00:00 AM
  • Firstpage
    784
  • Lastpage
    796
  • Abstract
    A theoretical basis is provided for multistage sigma-delta modulation (MSM), which is a cascade realization of several single-loop sigma-delta modulators with a linear combinatorial network. Equations are derived describing the output and the quantization noise of MSM for an arbitrary input signal, and the noise-shaping characteristic of MSM is investigated. The spectral characteristics of an m-stage sigma-delta modulator with both DC and sinusoidal inputs are developed. For both types of inputs the binary quantizer noise of the mth (m⩾3) quantizer, which appears at the output as an m th order difference, is asymptotically white, uniformly distributed, and uncorrelated with the input level. It is also found that for an m-stage sigma-delta quantizer with either an ideal low-pass filter or a sincm+1 filter decoder, the average quantization noise of the system is inversely proportional to the (2m+1)th power of the oversampling ratio. This implies that the high-order systems are favourable in terms of the trade-off between the quantization noise and oversampling ratio. Simulation results are presented to support the theoretical analysis
  • Keywords
    analogue-digital conversion; delta modulation; signal processing; DC inputs; binary quantizer noise; ideal low-pass filter; linear combinatorial network; m-stage modulator; multistage sigma-delta modulation; noise-shaping characteristic; oversampling ratio; quantization noise; sincm+1 filter decoder; single-loop sigma-delta modulators; sinusoidal inputs; spectral characteristics; Circuits; Decoding; Delta-sigma modulation; Feedback loop; Frequency; Low pass filters; Noise level; Noise shaping; Quantization; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.32155
  • Filename
    32155