Intelligent connected cloud-edge collaborative architecture for space-based distributed electromagnetic spectrum monitoring

Using satellites to complete spectrum monitoring tasks can effectively receive and process electromagnetic spectrum signals emitted by radiation sources. However, due to the shortage of satellite storage, computing and network resources, the intersatellite coordination is weak, and with the massive growth of spectrum data, the traditional cloud computing mode cannot meet the requirements of electromagnetic spectrum monitoring in terms of real-time, bandwidth, and security. We apply edge computing technology and deep learning technology to the satellite. Aiming at the problems of distributed satellite management and control, we propose a space-based distributed electromagnetic spectrum monitoring intelligent connected cloud-edge collaborative architecture SpaceEdge. SpaceEdge applies edge computing and artificial intelligence technology to space-based spectrum monitoring. SpaceEdge deploys intelligent monitoring algorithms to edge nodes to form edge intelligent satellite, and uses the cloud to uniformly manage and control heterogeneous edge satellite and monitor satellite resources. In addition, SpaceEdge can also adjust edge intelligent spectrum monitoring applications as needed to achieve effective coordination of inter-satellite algorithms and data to achieve the purpose of collaborative monitoring. Finally, SpaceEdge was experimentally verified, and the results proved the feasibility of SpaceEdge and can improve the timeliness and autonomy of the distributed satellite's coordinated signal monitoring.