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This project investigates joint UAV formation and communication resource optimization for 3D bistatic InSAR-based DEM generation. The system uses two UAVs that coordinate SAR sensing and transmit radar data in real-time to a ground station. The optimization framework maximizes InSAR coverage under practical sensing and energy constraints using an alternating optimization approach combining classical, monotonic, and stochastic methods. Simulations show centimeter-scale elevation accuracy and highlight the role of UAV-GS communication in sensing performance.

This project optimizes the sensing accuracy of a UAV-based dual-baseline InSAR system using a swarm of three drones. Two independent digital elevation models (DEMs) are generated and fused to reduce height estimation errors. Real-time radar data is offloaded via an FDMA air-to-ground link for ground-based processing. The UAV formation and offloading power are jointly optimized to minimize the worst-case height error.

A single rotary-wing unmanned aerial vehicle (UAV) equipped with a side-looking synthetic aperture radar (SAR) sensor is depoyed for 2D radar imaging of a predefined Area of Interest (AoI). The UAV navigates in 3D space and aims to achieve uniform energy distribution over the AoI using a directional antenna and a fairness-aware reward function.

Material zur Erstsemestereinführung (Vortragsfolien, Briefe, Grillen, Evaluation, ...)

Wireless tempdevice 2016

Studentische Mitschrift zur Vorlesung Mathematik für Ingenieure C4 im Sommersemester 2020.

Mitigating Spectre-PHT using Speculation Barriers in Linux eBPF (https://sys.cs.fau.de/verifence)

A minimalist config management. Shell on the outside, Perl on the inside. Oysterconf.