Distributed Moving Horizon Estimation and Consensus for Enhanced Satellite Orbit Determination within Constellations

Paper number

IAC-24,B4,IP,78,x88238

Author

Prof. Egidio D'Amato, University of Naples "Parthenope", Italy

Year

2024

Abstract

Accurate determination of satellite orbits within a constellation is a keypoint to ensure reliable coverage and optimal service for modern space applications. Several potential applications can be considered, including enhanced positioning and navigation for satellite communication services, sensor synchronization for Earth observations, and trajectory planning for space missions.

In this study, we present an innovative approach that integrates distributed Moving Horizon Estimation (MHE) and consensus theory to enhance real-time satellite orbit estimation. Our method leverages distributed computation across constellation nodes, enabling more accurate and robust orbit estimation even in the presence of noise, environmental perturbations and faults.

The Moving Horizon Estimation (MHE) filter is an advanced estimation technique that accounts for system dynamics over a moving horizon. By integrating this approach with consensus theory, which enables constellation nodes to cooperatively share and update information, the algorithm is able to achieve more accurate and consistent satellite orbit estimation.

In our work, we detail the design of the distributed MHE filter integrated with the consensus approach. 
Our simulation results showcase the robustness and effectiveness of our method across a variety of operational scenarios, suggesting a wide range of possible applications in future space missions.
Especially in complex scenarios characterized by nonlinear interactions and external disturbances, the MHE is able to outperform traditional Kalman filtering in terms of accuracy and it scales well with the number of satellites in the formation.

In conclusion, our work proposes an innovative solution to improve satellite orbit determination within constellations through the joint utilization of distributed Moving Horizon Estimation and consensus. Our simulations demonstrate the potential of this technique to enhance the accuracy and reliability of space operations, paving the way for new research and development opportunities in the space sector.

Abstract document

IAC-24,B4,IP,78,x88238.brief.pdf

Manuscript document

IAC-24,B4,IP,78,x88238.pdf (🔒 authorized access only).

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