Notice of Violation of IEEE Publication Principles: A parallel processing Kalman filter for spacecraft vehicle parameters estimation

Notice of Violation of IEEE Publication Principles

"A Parallel Processing Kalman Filter for Spacecraft Vehicle Parameters"
by Bo Tang, Pingyuan Cui, Yangzhou Chen
in the 2005 IEEE International Symposium on Communications and Information Technology, pages: 1429-1432, October 2005

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper contains significant portions of original text from the paper cited below. The original text was copied with insufficient attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Real-Time Attitude and Orbit Control System of a Small Leo Satellite with Parallel-Processing Approach in a Ground Station"
by Roger Johnson, Sanjay Jayaram, Lei Sun, Chan Ho Ham
in the 14th Annual/USU Conference on Small Satellites, pages: 1-11, August 2000


The Kalman filter algorithms are computationally intensive, therefore, parallel processing could be an option to meet the timing performance requirements. In this paper detailed research and experimentation have been done for parallel processing of the Kalman filter and the extended Kalman filter based on operating system and multiple general purpose processors that support shared memory. The time comparison of the various methods is analyzed with respect to real-time spacecraft vehicle parameters estimation and a slight time reduction in the parallel Kalman filter has been observed compared with sequential method.