• DocumentCode
    2898305
  • Title

    Application of massively parallel signal processing architectures to GPS/inertial systems

  • Author

    Kohli, Sanjai

  • Author_Institution
    Interstate Electronics Corp., Anaheim, CA, USA
  • fYear
    1992
  • fDate
    23-27 Mar 1992
  • Firstpage
    345
  • Abstract
    Summary form only given. The author considers the use of a massively parallel signal processing architecture in GPS (Global Positioning System)/inertial sensors to acquire satellite signals in fractions of a second (vs. tens of seconds today), as well as the GPS-inertial synchronization and mechanization required to extend the current application of Kalman filtering to estimating and eliminating continuous-wave jammer has also been explored. Satellite signal acquisition results based on analyses, verified by simulation and live data, have been obtained for both C/A and P-code acquisition in the presence of jammer. Similar data have been obtained for tracking in a high jamming environment. All results are with the Honeywell GG1308 RLG-based IRU and an IEC GPS sensor
  • Keywords
    Kalman filters; inertial navigation; jamming; parallel architectures; radionavigation; satellite relay systems; signal processing; telecommunications computing; C/A acquisition; GPS; GPS-inertial synchronization; Global Positioning System; IEC GPS sensor; Kalman filtering; P-code acquisition; continuous-wave jammer; inertial sensors; inertial systems; massively parallel signal processing architectures; satellite signals; simulation; tracking; Analytical models; Filtering; Global Positioning System; IEC; Jamming; Kalman filters; Satellites; Sensor systems and applications; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Position Location and Navigation Symposium, 1992. Record. 500 Years After Columbus - Navigation Challenges of Tomorrow. IEEE PLANS '92., IEEE
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-0468-3
  • Type

    conf

  • DOI
    10.1109/PLANS.1992.185864
  • Filename
    185864