HYPSO-2: Software-defined-radio (SDR) payload integration for HYPSO-2
- Project and Master Subjects 2025-2026
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Past Projects
- Project and Master Subjects 2024-2025
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Project and Master Subjects 2023-2024
- Multi-satellite data fusion for ocean color remote sensing
- Multimodal ocean color imaging with UAVs
- Hyperspectral super-resolution for ecosystem monitoring in fjords
- Semisupervised algae monitoring from hyperspectral satellites
- Prediction of algal bloom dynamics using ocean simulations
- Sharpening Hyperspectral Remote Sensing Data from Miniaturized Imagers
- MIMO model for water constituents using HYPSO-1 data
- Detection of Large Ships using HYPSO-1 Hyperspectral Remote Sensing Satellite Data
- Unsupervised learning for hyperspectral image segmentation
- Optimal Data Reduction in Miniaturized Hyperspectral Imaging Sensor
- HYPSO-2: Software-defined-radio (SDR) payload integration for HYPSO-2
- Automation of operations for the HYPSO-1 satellite
- Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
- HYPSO-3 Mission analysis
- Software Development for CubeSat Payloads for HYPSO-3
- Project and master assignments 2022
HYPSO-2: Software-defined-radio (SDR) payload integration for HYPSO-2
The HYPSO-2 mission is the follow-up for the HYPSO-1 satellite that was launched in January 2022. In addition to collecting hyperspectral data across the world, HYPSO-2 will have an on-board SDR used for frequency monitoring, channel measurements and communication experiments (communication between remote sensor systems and the satellite). The SDR platform is selected and partially integrated into the HYPSO software architecture. This project will focus on developing the mission and operationalizing the payload.
HYPSO-2 will feature a Totem SDR from Alen Space, Vigo, Spain. This platform is based on the Zync 7020 platform from Xilinx, featuring two ARM core processors (running Linux) and one FPGA for hardware accelerated applications.
The student should develop and operationalize the mission concept and contribute to completing the integration of the payload into the satellite bus.
Useful skillset for the student(s): It is useful with some background in radio/satellite communications. Knowledge about programming (C/Python/shell) is useful, or a desire to learn. We use git and several tools from GitHub to organize our work.
Example of tasks: Configuration of the Linux operating system. Development of the services running onboard the satellite required to run SDR applications. Design of the “pipeline” for defining tests, executing tests and managing and evaluating test results. Testing algorithms using the LUME-1 satellite (from UVigo) may be possible.
What we offer: All students working with the HYPSO projects within the SmallSatLab will be part of a multi-disciplinary team, consisting of 20-30 students on BSc, MSc, PhD level. We have a well-equipped lab and the tools are available from the start of the project.
For more information contact Roger.