@inproceedings{e668b08d1daa4fd0925e2552716ac097,
title = "Notice of Removal: A parallel processing Kalman filter for spacecraft vehicle parameters estimation",
abstract = "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 Kaman filter has been observed compared with sequential method",
keywords = "Estimation, Kalman Filter, Parallel Processing",
author = "Bo Tang and Pingyuan Cui and Yangzhou Chen",
year = "2005",
doi = "10.1109/ISCIT.2005.1567150",
language = "English",
isbn = "0780395387",
series = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings",
publisher = "IEEE Computer Society",
pages = "1429--1432",
booktitle = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings",
address = "United States",
note = "ISCIT 2005 - International Symposium on Communications and Information Technologies 2005 ; Conference date: 12-10-2005 Through 14-10-2005",
}