Integrating the greedy EDM FDE algorithm with a temporal localization filter can offer a comprehensive solution that combines fast fault exclusion with probabilistic guarantees. By leveraging the strengths of both approaches, the integrated system can provide efficient fault detection and exclusion while ensuring robust localization performance over time.
One way to integrate the algorithm with a temporal localization filter is to use the output of the EDM FDE as an input to the filter for refining the receiver's position estimate. The filter can incorporate the fault-excluded measurements from the EDM FDE to improve the accuracy and reliability of the localization solution. This integration can enhance the overall system's resilience to measurement faults and environmental disturbances.
Furthermore, the temporal localization filter can provide additional context and historical information to the greedy EDM FDE algorithm, enabling it to make more informed decisions about fault exclusion. By combining the real-time fault detection capabilities of the greedy approach with the long-term consistency checks of the filter, the integrated system can achieve a balance between speed and accuracy in fault mitigation.
Overall, integrating the greedy EDM FDE algorithm with a temporal localization filter can create a synergistic solution that capitalizes on the strengths of both methods, leading to enhanced performance and reliability in GNSS fault detection and exclusion.