• DocumentCode
    1464160
  • Title

    Noise performance analysis of bipolar operational amplifier based on the noise matrix superposition expression

  • Author

    Dai, Y.

  • Author_Institution
    Dept. of Electron. Eng., Jilin Univ. of Technol., Changchun, China
  • Volume
    145
  • Issue
    5
  • fYear
    1998
  • fDate
    10/1/1998 12:00:00 AM
  • Firstpage
    343
  • Lastpage
    346
  • Abstract
    Noise analysis of an operational amplifier is not simple, because there are many noise sources inside the circuit. Usually, the equivalent input noise is calculated by superposition of individual noise sources inside the circuit, neglecting the correlation between noise voltage and current sources of the operational amplifier, or omitting the noise current source for a CMOS operational amplifier. Since the noise current source in a bipolar operational amplifier is larger than that in a CMOS operational amplifier, and it is correlated with the noise voltage source, the conventional method will introduce a significant error. The equivalent input noise matrix of an operational amplifier is presented, based on the noise matrix method. The benefits of the noise matrix superposition expression used in this method are that correlation between the noise voltage and current of an operational amplifier can be considered completely, and analysis of the noise contribution of an individual noise source inside the circuit to the equivalent input noise model can be obtained
  • Keywords
    bipolar analogue integrated circuits; integrated circuit noise; linear network analysis; matrix algebra; operational amplifiers; bipolar operational amplifier; equivalent input noise matrix; noise current; noise matrix method; noise matrix superposition expression; noise performance analysis; noise voltage source;
  • fLanguage
    English
  • Journal_Title
    Circuits, Devices and Systems, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2409
  • Type

    jour

  • DOI
    10.1049/ip-cds:19982276
  • Filename
    739678