The purpose of this tutorial is to discuss in detail the theoretical background of a GPS Network Real-Time-Kinematic process.
In chapter 1 the error sources that appear in the observation equations and the way they affect the GPS signals are described various error mitigation models are outlined. The linear combinations of the GPS observations between frequencies and between receivers are presented while emphasis is given to their special characteristics. The stochastic properties of the GPS observation equations are reviewed. The physical meaning of the GPS ambiguity and the ambiguity resolution and validation concepts which are essential to centimetre level positioning are discussed. Information provided in Chapter 1 are closely related and required as background reading for chapter 2.
Chapter 2 reviews the Network RTK processes. An introduction to the Differential GPS (DGPS), RTK phase positioning and the concept of the Network clusters is given. The Network RTK processes, namely a) correction generation, b) correction interpolation and c) correction transmission are reviewed in detail. The most commonly employed techniques by commercial Network RTK software suites for the transmission of the generated corrections are presented. The required message types in the standard RTCM format for data transmission are described. The chapter concludes with a discussion on the Network RTK requirements and the advances in other technological domains that enable new prospects for the further development of the field.
All the resources mentioned in the posts are referenced in the Bibliography section. Links to the referenced papers/presentations are provided where available.
This tutorial is part of the PhD thesis 'Development and assessment of a new rover-enhanced network based data processing strategy for Global Navigation Satellite Systems'. Download pdf.
To reference the GPS Network RTK tutorial use the following citation:
Zinas Nicholas 'Development and assessment of a new rover-enhanced network based data processing strategy for global navigation satellite systems'. PhD Thesis, University College London, 2010.