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arXiv · 2511.12430

Integration of Navigation and Remote Sensing in LEO Satellite Constellations

Qi Wang·Xiaoming Chen·Qiao Qi·Zhaolin Wang·Yuanwei Liu
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Abstract

Low earth orbit (LEO) satellite constellations are becoming a cornerstone of next-generation satellite networks, enabling worldwide high-precision navigation and high-quality remote sensing. This paper proposes a novel dual-function LEO satellite constellation frame structure that effectively integrating navigation and remote sensing. Then, the Cramer-Rao bound (CRB)-based positioning, velocity measurement, and timing (PVT) error and the signal-to-ambiguity-interference-noise ratio (SAINR) are derived as performance metrics for navigation and remote sensing, respectively. Based on it, a joint beamforming design is proposed by minimizing the average weighted PVT error for navigation user equipments (UEs) while ensuring SAINR requirement for remote sensing. Simulation results validate the proposed multi-satellite cooperative beamforming design, demonstrating its effectiveness as an integrated solution for next-generation multi-function LEO satellite constellations.

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Qi Wang, Xiaoming Chen, Qiao Qi, Zhaolin Wang, Yuanwei Liu. 2025-11-16. Integration of Navigation and Remote Sensing in LEO Satellite Constellations. https://arxiv.org/abs/2511.12430

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