Range domain auto-regression method on generalized multivariate time-varying series analysis
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.