Range Domain Auto-regression Method on Generalized Multivariate Time-varying Series Analysis

S. Qian, Z. Jun, Z. Yanbo

Abstract:	The future introduction of new satellite constellations such as the European satellite navigation system Galileo , modernized Global Positioning System (GPS) or Compass developed by China will imply great improvements in the number as well as the quality of available measurements which provide chance to support better performance. Due to the navigation resources are kind of time-varying series and the ranging function is generalized multivariate, pseudorange accuracy features must be researched to support future interoperability. This paper proposed a range domain auto-regression method on generalized multivariate time-varying series analysis named GmTv-AR, which can be used to determine and analyze positioning function variables in multi-constellation interoperation. The GmTv-AR model not only can represent and retain individual constellation characteristic but also take advantage of the satellites redundancy.
Published in:	Proceedings of IEEE/ION PLANS 2012 April 24 - 26, 2012 Myrtle Beach Marriott Resort & Spa Myrtle Beach, South Carolina
Pages:	891 - 897
Cite this article:	Qian, S., Jun, Z., Yanbo, Z., "Range Domain Auto-regression Method on Generalized Multivariate Time-varying Series Analysis," Proceedings of IEEE/ION PLANS 2012, Myrtle Beach, South Carolina , April 2012, pp. 891-897. https://doi.org/10.1109/PLANS.2012.6236832
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