LEO Constellations as a Decentralized GNSS Network: Optimizing PNT Corrections in Space
Xing Liu, Xue Xian Zheng, Jos\'e A. L\'opez-Salcedo, Tareq Y. Al-Naffouri, Gonzalo Seco-Granados

TL;DR
This paper proposes a decentralized GNSS network for LEO satellites, enabling high-precision orbit and clock estimation through local processing and neighbor communication, reducing reliance on ground infrastructure.
Contribution
It introduces a novel decentralized processing framework using a momentum-accelerated gradient tracking method tailored for dynamic satellite constellations.
Findings
Achieves accuracy comparable to centralized methods
Reduces communication requirements significantly
Supports autonomous, self-organizing space systems
Abstract
With the rapid expansion of low Earth orbit (LEO) constellations, thousands of satellites are now in operation, many equipped with onboard GNSS receivers capable of continuous orbit determination and time synchronization. This development is creating an unprecedented spaceborne GNSS network, offering new opportunities for network-driven precise LEO orbit and clock estimation. Yet, current onboard GNSS processing is largely standalone and often insufficient for high-precision applications, while centralized fusion is challenging due to computational bottlenecks and the lack of in-orbit infrastructure. In this work, we report a decentralized GNSS network over large-scale LEO constellations, where each satellite processes its own measurements while exchanging compact information with neighboring nodes to enable precise orbit and time determination. We model the moving constellation as a…
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Taxonomy
TopicsGNSS positioning and interference · Satellite Communication Systems · Space Satellite Systems and Control
