A Parallel Simulation Method for Performance Analysis of GNSS

Article Preview

Abstract:

In this paper, we proposed a parallel simulation method for performance analysis of the Global Navigation Satellite System (GNSS) based on simulation model portability 2(SMP2) and service-oriented modeling method. GNSS is a space engineering system with a large-scale and complex structure, and the proposed method can be used to construct large complex simulation systems to gain the reusability, composability and interoperability of heterogeneous simulation resources. Firstly, the method including the conceptual framework, system architecture and system engineering process is introduced. Then the parallel model development, composition and schedule method are detailed respectively. Finally, a distributed M&S environment based on service-oriented SMP2 is designed, and an example of navigation system volume simulation is given to validate the whole method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1187-1191

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] B. H. Li, X. D. Chai. Journal of System Simulation, 2004, 16(9): 1871-1878(in Chinese).

Google Scholar

[2] Hou Hongtao, Li Qun Wang Chao. Appl. Math. Inf. Sci. 7, No. 6, 2095 -2102 (2013).

Google Scholar

[3] H.T. Hou, F. Xie, C. Wang et al. Inter. J. Online. Eng. 2013, Spec. 7, 12-17.

Google Scholar

[4] Y. L. Lei, N. L. Su, J. J. Li, et al. System Engineering Theory & Practice, 2010, 30(5): 899~ 908(in Chinese).

Google Scholar

[5] E. Thomas. Prentice Hall PTR. 2005. 08.

Google Scholar

[6] European Space Agency. SMP 2. 0 Handbook Issue 1 Revision 2. EGOS-SIM-GEN-TN-0099, 2005. 10.

Google Scholar

[7] European Space Agency. SMP 2. 0 Metamodel Issue 1 Revision 2. EGOS-SIM-GEN-TN-0100, 2005. 10.

Google Scholar

[8] European Space Agency. SMP 2. 0 Component Model Issue 1 Revision 2. EGOS-SIM-GEN- TN-0101, 2005. 10.

Google Scholar

[9] Q. Li, C. Wang, Y. F. Zhu, et al. Journal of System Simulation, 2007, 19(02): 272-276(in Chinese).

Google Scholar

[11] N. L. Su, H. T. Hou, Q. Li, et al. Journal of System Simulation, 2008, 20(9) : 2253-2256(in Chinese).

Google Scholar

[12] Y. L. Lei, W. Zhang, X. Zhao, et al. Journal of System Simulation, 2009, 21(14): 4312-4316(in Chinese).

Google Scholar