• DocumentCode
    1800630
  • Title

    Application of Oversampled A/D Converter in Low-cost Strapdown Inertial Navigation System

  • Author

    Hongli, Tan ; Xinsheng, Huang ; Dongxue, Yue

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • fYear
    2007
  • fDate
    Aug. 16 2007-July 18 2007
  • Abstract
    In the strapdown inertial navigation system (SINS) the inertial sensors mounted directly on the vehicle, have large scales inputs. Even in the low-cost SINS the gyroscopes have over 19 bits scales inputs. Conventional A/D converters only have 12~14 bits, can not meet the need. The oversampled A/D converter can reduce the quantization errors and improve the scales to fit for the low-cost SINS. The effect of oversampling was analyzed, not only in reducing quantization errors and signal noise, but also in improving integral filtering precision. The DPS+FPGA structure was used to collect the six signals of gyros and accelerometers in high speed and parallel mode. The experiment results show that, the low-cost SINS using the oversampled A/D converter have good performance in common integrate navigation applications.
  • Keywords
    analogue-digital conversion; field programmable gate arrays; inertial navigation; DPS; FPGA; accelerometers; gyroscopes; inertial sensors; low-cost SINS; low-cost strapdown inertial navigation system; oversampled A/D converter; quantization errors; Filtering; Gyroscopes; Inertial navigation; Large-scale systems; Noise reduction; Quantization; Sensor systems; Signal analysis; Silicon compounds; Vehicles; A/D conversion; integral filtering; oversampling; quantization errors; strapdown inertial navigation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4351231
  • Filename
    4351231