What are GNSS corrections and how to integrate services that work best for you
The demand for high accuracy positioning is growing and spreading from automation and robotization to lawn mowers and other mass market devices. This is driving new developments in the GNSS ecosystem, as new correction services and models emerge to satisfy demands of various industries. These services vary in terms of accuracy offered, delivery methods, coverage, and business model. The GNSS corrections ecosystem is currently in a state of the “Wild West” with lots of possibilities, but little standardization, making it challenging for users to select and connect to the most suitable service. The Agnostic Corrections Partner Program has been created to serve as a bridge between the customer, the receiver and the correction services, allowing integrators to take advantage of reliable high-accuracy receivers in combination with the best suitable correction service.
But what exactly are correction services and how do they fit into the puzzle of system design for machine automation, robotics and many other applications using high-accuracy positioning? Satellite-based positioning is inherently limited in accuracy due to several errors caused by GNSS satellites. As GNSS signals travel towards the Earth, the atmosphere causes tiny delays which result in additional errors, further degrading accuracy down to several meters. To compensate for these errors and achieve decimeter or even centimeter-level accuracy the receiver needs to get external information from a base station or a corrections service. This is also called positioning augmentation, or augmented accuracy. In addition to the widely accepted RTK centimeter-level positioning, there has been an expansion in the market of affordable PPP-RTK (aka SSR) corrections, which provide continental coverage, sub-decimeter accuracy and a fast convergence rate, delivered over internet or satellite. For more information about how correction services work and PPP-RTK corrections see GNSS Correction Demystified.