3D Battlefield Radiation Source Location Tracking Algorithm

Under the framework of multi-domain grid in battlefield environment, in order to make better use of battlefield electromagnetic domain information to perceive and manage electromagnetic radiation sources in the area, this paper proposes a three-dimensional battlefield radiation source location tracking algorithm (BRSLTA). Different from the existing methods, the proposed BRSLTA considers the influence of the battlefield terrain, utilizes the Euclidean distance of the signal space to maximize the location of the signal monitoring station, and builds a fingerprint database in a large area by drawing on the idea of indoor fingerprint positioning. Deep learning is used to search and match electromagnetic energy, and realize the tracking of radiation sources through real-time positioning. The simulation results show that the proposed algorithm can roughly simulate the trajectory of the radiation source in the battlefield area with high accuracy and precision.