LEO Satellites

Networked Signal Processing for Large-Scale Satellite Navigation

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B2 R5220

This dissertation develops a networked signal processing framework for large-scale satellite navigation, in which receivers or satellites act as graph-connected agents that process local observations and exchange compact messages with neighboring nodes.

KAUST researchers model space–air–ground–sea networks to bring reliable connectivity from the coast to the deep ocean

3 min read ·
Ships, offshore platforms, and rescue teams need more than a voice channel. Transoceanic freighters rely on data links for navigation, fleet management, and cargo monitoring. Offshore oil and gas platforms send sensor telemetry, video surveillance, and emergency alerts. Yet most of today’s maritime systems, such as GMDSS, NAVTEX, AIS, and VDES, support only text or voice. Shore-based coverage ends about 100 km from the coast, and satellite services bring high latency and limited spectrum. Researchers from the KAUST Communication Theory Lab (CTL) and Heriot-Watt University present an analytical

Mohammad Taha Shah

Postdoctoral Research Fellow, Electrical and Computer Engineering
Talent is something you make bloom; instinct is something you polish.
KAUST CEMSE ECE ISL Xuexian Zheng

Xuexian Zheng

Xue Xian is currently working on signal processing and optimization methods for graphs and networks, translating theory into large-scale satellite systems for navigation, sensing, and space computing.