Bulletin géodésique

, Volume 65, Issue 2, pp 122–129 | Cite as

Use of spectral methods in strapdown ISS data processing

  • Joseph Czompo
Article

Abstract

Characteristic frequencies and frequency bands are identified in the output of the inertial sensor block in a Ring Laser Gyro Strapdown Survey System by using Fast Fourier Transformation and are related to physical causes such as vehicle motion, environmental noise and sensor errors. A significant disturbance in the gyro and accelerometer outputs caused by the dither mechanism of the laser gyro is discussed. A frequency filtering approache to decrease the disturbing frequencies are studied. The effect of the filtering on the system performance is presented for field test results.

Keywords

Fast Fourier Transformation Amplitude Spectrum Inertial Sensor Vehicle Motion Inverse Fast Fourier Transformation 

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References

  1. Gold, B. and Rader, C.M. (1969) Digital Processing of Signals. McGrow Hill, USA.Google Scholar
  2. Kanasewich, E.R. (1975) Time Sequence Analysis in Geophysics. University of Alberta Press, Edmonton, Canada.Google Scholar
  3. Keller, D. (1989) First Results of the Honeywell Lasernav II System in Geodetic Applications. Symposium Gyro Technology, Stuttgart, Germany.Google Scholar
  4. Schwarz, K. P., Knickmeyer, E. H. and Martell, H. (1990) The Use of Strapdown Technology in Surveying. CISM Journal ACSGC Vol. 44, No. 1, Spring 1990, 29–37.Google Scholar
  5. Terrell, T. J. (1988) Introduction to Digital Filters. MacMillan Education Ltd, London, England.Google Scholar
  6. Wong, R. V. C. (1988) Development of a RLG Strapdown Inertial Survey System. Department of Surveying Engineering, Report No. 20027, The University of Calgary.Google Scholar

Copyright information

© Springer-Verlag 1991

Authors and Affiliations

  • Joseph Czompo
    • 1
  1. 1.Department of Surveying EngineeringThe University of CalgaryCalgary, AlbertaCanada

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