Open AccessSatellite-to-ground communication decision system based on knowledge graph
Author(s) -
Guojian Cai,
Luyong Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1856/1/012060
Subject(s) - collaborative filtering , scalability , computer science , debugging , similarity (geometry) , decoupling (probability) , graph , algorithm , communications satellite , satellite , data mining , real time computing , recommender system , theoretical computer science , artificial intelligence , machine learning , engineering , database , control engineering , image (mathematics) , programming language , aerospace engineering
The knowledge graph relies on the powerful knowledge aggregation ability to bring new space for progress to the satellite-to-ground communication decision-making system, and it performs better in accuracy, debugging, scalability and decoupling. Then, based on the user-based collaborative filtering algorithm, a collaborative filtering algorithm fused with path loss is proposed. Based on the path loss formula for the free propagation of radio waves, the similarity factor is derived, and the similarity calculation formula more in line with satellite-to-ground communication is obtained. Through the simulation results, it can be seen that the improved algorithm has improved accuracy and recall rate, resulting in more satisfactory recommendation results.