Satellite Navigation System Positioning Research Based on Pseudo Linear Kalman Filtering Algorithm

Qi Lai Huang; Wei Bo Li; Zheng Gong; Han Li Wang

doi:10.4028/www.scientific.net/AMM.687-691.3996

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Satellite Navigation System Positioning Research...

Satellite Navigation System Positioning Research Based on Pseudo Linear Kalman Filtering Algorithm

Abstract:

At present, with application scope enlargement of GPS, traditional positioning method can't meet the growing performance requirements more and more. So kalman filtering theory is applied to national defense and civil enterprise in satellite navigation and it has very important significance.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3996-3999

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3996

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Online since:

November 2014

Authors:

Qi Lai Huang, Wei Bo Li, Zheng Gong, Han Li Wang

Keywords:

Algorithm (GA), Positioning, Pseudo Linear Kalman Filtering, Satellite Navigation

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References

[1] Wang Lei. kalman filtering analysis [J]. Journal of Control Engineering, 2009, 15 (3) : 313-315.

Google Scholar

[2] Wu Jian, Lin Li. Satellite navigation system and implementation [J]. Journal of Control Engineering, 2010, 15 (3) : 313-315.

Google Scholar

[3] Pi Yunsheng, Shi Guoliang. The design and implementation scheme of low-cost GPS/SINS integrated navigation system [J]. Microcomputer Information, 2008, 24 (8) : 22-24.

Google Scholar

[4] Wu Qiuping. Pseudo linear kalman filtering algorithm analysis [J]. Journal of Navigation and Control, 1998, 8 (4) : 1-10.

Google Scholar

[5] You Wenhu, Jiang Fuxing. Data synchronization technology research of INS/GPS integrated navigation system[J]. Journal of Inertial Technology, 2003, 1 l (4) : 20 to 22.

Google Scholar

[6] Ding W D，Wang J L，Mumford P，et a1．Time Synchronization Design for Integrated Positioning and Georeferencing systems [C]． The SSC 2005 Spatial Intelligence，Innovation and Praxis：the National Biennial Conference of the Spatial Science Institute, Melbourne. (2005).

Google Scholar