System and method for hybrid precise point positioning and real-time kinematic position estimation
Accuracy of Global Navigation Satellite System (GNSS) for GNSS devices is improved using a GNSS positioning system that leverages networked optimization for enhanced accuracy. GNSS measurements from multiple devices form the foundation for a massive pairwise optimization approach. This fuels a self-reinforcing cycle, wherein Real Time Kinematic (RTK) pairwise optimizations support Precise Point Positioning (PPP) analysis. Improved PPP calculations in turn refine RTK optimization, rapidly iterating towards convergence. The PPP-RTK feedback loop refines positions iteratively, culminating in more accurate user locations.
1. A system for improving positional accuracy in a Global Navigation Satellite System (GNSS) device, comprising:
a server comprising a memory and a processor;
an application programming interface (API) operating on the server, the API comprising a first plurality of programming instructions stored in the memory which, when operating on the processor, causes the API to act as a network interface between applications operating on GNSS devices and a location correction engine operating on the server; and
the location correction engine operating on the server comprising a second plurality of programming instructions stored in the memory which, when operating on the processor, causes the server to:
receive positional information from a pair of GNSS devices via the API, the positional information comprising navigation message data from each GNSS device comprising pseudorange and carrier phase measurements;
for each device, generate an estimated position value to produce an estimated double difference ambiguity measurement;
use the estimated double difference ambiguity measurement and the estimated position value as an input into a real-time kinematic (RTK) algorithm, wherein the RTK algorithm computes a first position value for each of the devices;
input the computed first position, the estimated position value, and the estimated double difference ambiguity measurement into a precise point positioning (PPP) algorithm, wherein the algorithm computes a second position value for each of the devices;
use the second position value to update the estimated position value;
calculate an error correction for the pair of GNSS devices based on the updated estimated position value; and
send the error correction to the pair of GNSS devices.
2. A method for improving positional accuracy in a Global Navigation Satellite System (GNSS) device, comprising the steps of:
receiving positional information from a pair of GNSS devices via an application programming interface, the positional information comprising navigation message data from each GNSS device comprising pseudorange and carrier phase measurements;
for each device, generating an estimated position value to produce an estimated double difference ambiguity measurement;
using the estimated double difference ambiguity measurement and the estimated position value as an input into a real-time kinematic (RTK) algorithm, wherein the RTK algorithm computes a first position value for each of the devices;
inputting the computed first position, the estimated position value, and the estimated double difference ambiguity measurement into a precise point positioning (PPP) algorithm, wherein the algorithm computes a second position value for each of the devices;
using the second position value to update the estimated position value;
calculating an error correction for the pair of GNSS devices based on the updated estimated position value; and
sending the error correction to the pair of GNSS devices.