Performance Improvement of Navigation Information Quality Monitoring M&S Program by GPGPU Parallel Processing

Jookyoung Kim, Jungmin Joo, Munbeom Heo

Abstract:	We develop condition monitoring examination model program by narrow-area ground based observation. This program include these algorithms – spoofing signal monitoring, satellite orbit / clock fault monitoring and ionosphere monitoring. These algorithms in ‘Navigation Information Quality Monitoring M&S Program’ developed by WPF programming language that using serial computing manner. So, this M&S program needs a lot of processing time. M&S program consist of many complex matrix calculation. If we apply parallel computing to M&S program, we can improve performance of program because parallel computing can calculate each matrix element independently. We add parallel processing code to M&S program and compare processing speed of serial computing code with processing speed of parallel computing code.
Published in:	Proceedings of the ION 2015 Pacific PNT Meeting April 20 - 23, 2015 Marriott Waikiki Beach Resort & Spa Honolulu, Hawaii
Pages:	886 - 889
Cite this article:	Kim, Jookyoung, Joo, Jungmin, Heo, Munbeom, "Performance Improvement of Navigation Information Quality Monitoring M&S Program by GPGPU Parallel Processing," Proceedings of the ION 2015 Pacific PNT Meeting, Honolulu, Hawaii, April 2015, pp. 886-889.
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