• DocumentCode
    918194
  • Title

    Kalman filter mechanization for INS airstart

  • Author

    Pham, Tuan Manh

  • Author_Institution
    McDonnell Douglas Helicopter Co., Mesa, AZ, USA
  • Volume
    7
  • Issue
    1
  • fYear
    1992
  • Firstpage
    3
  • Lastpage
    11
  • Abstract
    A strapdown mechanization and associated Kalman filter are developed to provide both ground align and airstart capabilities for inertial navigation systems (INSs) using Doppler velocity and position fixes, while not requiring an initial heading estimate. Position update during coarse mode is possible by defining sine and cosine of wander angle as filter states and modeling the position error in geographic frame while integrating velocity in the wander frame. INS Global Positioning System (GPS) differential position due to GPS antenna moment arm can aid heading convergence during hover turns in helicopter applications. Azimuth error state in the fine mode of the filter is defined as wander angle error to provide continuous estimation of navigational states, as well as inertial/aiding sensor errors, across the coarse-to-fine mode transition. Though motivated by a tactical helicopter application, the design can be applied to other vehicles. Advantages over conventional systems in addition to the airstart capability include robustness and versatility in handling many different operational conditions.<>
  • Keywords
    Doppler effect; Kalman filters; aircraft instrumentation; helicopters; inertial navigation; Doppler velocity; Global Positioning System; INS airstart; Kalman filter mechanization; azimuth error state; coarse mode; coarse-to-fine mode transition; continuous estimation; differential position; fine mode; ground align; hover turns; inertial navigation; inertial/aiding sensor errors; navigational states; position fixes; robustness; strapdown mechanization; tactical helicopter; versatility; wander angle error; Aircraft navigation; Azimuth; Convergence; Error correction; Filters; Global Positioning System; Helicopters; Inertial navigation; State estimation; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0885-8985
  • Type

    jour

  • DOI
    10.1109/62.127124
  • Filename
    127124