Abstract
Previous studies of parallel processing methods for use with satellite related, many parameter estimation problems indicated the need for faster numerical integration methods. A study of parallel numerical integration methods for use in satellite orbit determination showed only slight improvement over the fastest serial methods, thus prompting the reexamination of the role of numerical integration in a parallel estimation scheme. A parallel orbit determination scheme, parallel in both observation processing and least squares solution, was implemented. The fastest parallel method, run on twenty-four processors, showed a 33% improvement over the fastest serial method for the case of estimating twenty-four GPS satellite orbits. To determine the relative time spent in numerical integration a detailed analysis of the time spent in each of the primary steps of the parallel method was completed. This analysis showed that numerical integration does not account for a significant fraction of the computing times. In addition, the analysis revleaed that delays due the the synchronization of processors were a limit on the performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
