Multichannel Kalman filter based on preliminary data compression for the satellite rotational motion parameters identification

Hajiyev C., Bahar M.

3rd International Conference on Nonlinear Problems in Aviation and Aerospace, Florida, United States Of America, 10 - 12 May 2000, pp.277-284 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.277-284
  • Istanbul Technical University Affiliated: No


This paper deals with the algebraic method of attitude determination accuracy and the way of its increasing via multichannel Kalman filter. Algebraic method is based on computing any two analytical vectors which are in the reference frame and measuring these vectors in the body coordinate system. Presented method was examined with three different vector pairs: 1) Earth's magnetic field and Sun vector, 2) Earth's magnetic field and Nadir vector, 3) Sun vector and Nadir vector. The redundant data is used to increase the accuracy of the attitude determination of the satellite using Maximum Likelihood Method.