Abstract
In this chapter, the principle of operation and the general requirements of sensors operating as a measurement system are presented. The idea of mutual aiding of sensors by filtering and estimation is realized by complementary, or Kaiman, filtering. A variety of application examples underlines the power of utilizing the complementary properties of the sensors within the system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brown, R.G. “Integrated Navigation Systems and Kaiman Filtering: A perspective,” Navigation, J. Institute of Navigation, Vol. 19, No. 4, Winter 1972, pp. 355–362.
Kaiman, R.E. “A New Approach to Linear Filtering and Prediction Problems,” Transactions ASME, J. Basic Engineering, Vol. 82D, March 1960, pp. 34–45.
Papoulis, A., Probability, Random Variables, and Stochastic Processes, 3third edition, McGraw-Hill, New York, 1991.
Widrow, B., et al, “Adaptive Noise Cancelling: Principles and Applications,” Proceedings, IEEE, Vol. 63, Dec. 1975, pp. 1692–1716.
Higgins, W.T. “A Comparison of Complementary and Kaiman Filtering,” IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-11, No. 3, May 1975, pp. 321–325.
Kayton, M. and Fried, W.R., Avionics Navigation Systems, John Wiley & Sons, New York, 1969.
Garg, S.C., Morrow, L.D., and Mamen R., “Strapdown Navigation Technology: A Literature Survey,” AIAA Journal of Guidance and Control, Vol. 1, No. 3, May-June 1978, pp. 161–172.
Harris, C.M., Shock and Vibration Handbook, McGraw-Hill, New York, 1989.
Merhav, S.J., and Bresler, Y., “On-line Vehicle Motion Estimation from Visual Terrain Information, Pt. I: Recursive Image Registration; Pt. II: Ground Velocity and Position Estimation,” IEEE Transactions on Aerospace annd Electronic Systems, Vol. AES-22, No. 5, September 1986, pp. 583–604.
Merhav, S.J., and Bresler, Y., “On-line Vehicle Motion Estimation from Visual Terrain Information, Pt. I: Recursive Image Registration; Pt. II: Ground Velocity and Position Estimation,” IEEE Transactions on Aerospace annd Electronic Systems, Vol. AES-22, No. 5, September 1986, pp. 583–604.
Parkinson, W.P., “History and Operation of NAVSTAR, the Global Positioning System,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 30, No. 4, October 1994, pp. 1145–1161.
Merhav, S., and Velger, M., “Compensating Sampling Errors in Stabilized Helmet Mounted Displays Using Auxiliary Acceleration Measurements,” AIAA Journal of Guidance, Control and Dynamics, Vol. 14, No. 5, Sept.-Oct. 1991, pp. 1067–1069.
Lifshitz S., and Merhav, S., “Adaptive Suppression of Biodynamic Interference in Helmet-Mounted Displays and Head Teleoperation,” AIAA Journal of Guidance Control and Navigation, Vol. 14, No. 6, Nov.-Dec. 1991, pp 1173–1180.
Meditch, J.S., Stochastic Optimal Linear Estimation and Control, McGraw-Hill, New York, 1969.,
Friedland, B., Control System Design, an Introduction to State-Space Methods, McGraw-Hill, New York, 1986.
Sorensen, J.A. “Laboratory Demonstration of Aircraft Estimation Using Low-Cost Sensors,” NASA CR-152049, prepared for Ames Research Center, Moffett Field, CA, 1975.
Bar Itzhack, I.Y., and Ziv, I., “Frequency and Time Domain Designs of a Strapdown Vertical Determination System,” Proceedings AIAA Guidance, Navigation and Control Conference, Williamsburg, August 1986, paper 86–2149.
Pietila, R. and Dunn, W.R., “A Vector Autopilot System,” IEEE Trans. on Aerospace and Electronic Systems, Vol. AES 12, No. 3, 1976, pp. 341–347.
Daniel, J.A., Knox, J.R., and Raney, L.H., “Advances in Flight Control Navigation and Terminal Guidance Development for a Low-Cost Multifunction Unmanned Air Vehicle System,” Unmanned Systems, Winter, 1989/90, pp. 17–25.
Koifman, M., and Merhav S., “Autonomously aided Strapdown Attitude Reference System,” AIAA Journal of Guidance, Dynamics and Control, Vol. 14, No. 6, Nov.-Dec. 1991, pp. 1164–1172.
Etkin, B., Dynamics of Atmospheric Flight, John Wiley & Sons, New York, 1972.
Gelb, A., Applied Optimal Estimation, Chapter 6, MIT Press, Cambridge MA, 1974.
Hinkley, D.V., “Inference about the Change Point from Cumulative Sum Tests,” Biometrica, Vol. 58, No. 3, 1971, pp. 509–523.
Basseville, M., et al., Pt. I, “Edge Detection using Sequential Methods for Change in Level,”; PII. H, “Sequential Detection of Change in Mean,”IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. ASSP-29, No. 1, 1981, pp. 32–50.
Basseville, M., et al., Pt. I, “Edge Detection using Sequential Methods for Change in Level,”; Pt. II., “Sequential Detection of Change in Mean,”IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. ASSP-29, No. 1, 1981, pp. 32–50.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1996 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Merhav, S. (1996). Filtering, Estimation, and Aiding. In: Aerospace Sensor Systems and Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3996-3_10
Download citation
DOI: https://doi.org/10.1007/978-1-4612-3996-3_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8465-9
Online ISBN: 978-1-4612-3996-3
eBook Packages: Springer Book Archive