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NEU4SST - Neuromorphic Processing for Space Surveillance and Tracking

In this project the authors looked at event-based sensing and processing for space situational awareness (SSA). Many advantages exist with the new paradigm of neuromorphic engineering, the authors investigate whether event-based optical data is suitable for the task and if processing with Spiking Neural Networks (SNN) provides advantages in terms of efficiency and efficacy. With the implementation of a novel heterogeneous LIF SNN, authors claim to surpass the state of the art in event-based SSA with a 15% increase in accuracy.

United Kingdom

EISI_I-2022-00363

UNIVERSITY OF STRATHCLYDE
Exploring the Use of Molecular Dynamics Simulations for High-Performance Space Debris Collision Modelling

For long-term studies, numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In the scope of the study, the authors present the architecture and proof-of-concept results for a numerical simulation capable of modeling the long-term debris evolution over decades with a deterministic conjunction tracking model in contrast to typically employed Monte Carlo methods. For the simulation, an efficient propagator in modern C++ accounting for Earth’s gravitational anomalies, solar radiation pressure, and atmospheric drag was developed.

Germany

21-D-A-02

University of Munich
Forecasting Space Weather in the Arctic Region (FORSWAR)

The main objective of this activity was to develop and demonstrate new techniques which are expected to improve the current state-of-the-art Space Weather forecasting techniques and products related to Space Weather effects for Positioning, Navigation and Timing (PNT) systems in the Arctic, with particular attention to the Greenland area. For this purpose, the activity investigated and tested innovative methods for monitoring and predicting Space Weather impacts on PNT in interested area.

Norway

19-P-O-NAV-01-b

University of Oslo
Game theoretic analysis of space debris removal dilemma

The increase of space debris means that active space debris removal is becoming more relevant. An active debris removal mission would have a positive effect (or risk reduction) for all satellites in the same orbital band. This leads to a dilemma: each space agency has an incentive to delay its actions and wait for others to respond. We model this scenario as a non-cooperative game between self-interested agents in which the agents are space agencies.

UK

15R01

University of Liverpool

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