A Jamming Situation Generation Method for Space-Air Network Based on Newton's Law of Cooling

Jamming situation generation is very important for space-air networks to respond to jamming attacks and improve communication quality. The traditional jamming situation generation method does not work well when the sampling points are sparse and the sample size is small. When the space-air platform moves at a high speed and the jamming source moves at a high speed, the sampled data has the problem of incompatibility of temporal and spatial characteristics. In order to solve these problems, this paper proposes a method of generating jamming situation based on Newton's law of cooling. Using this method, situation information in different time domains and different airspaces can be superimposed, and the jamming situation generation capability of the space-air network composed of relay satellites and drone clusters can be significantly improved. Through simulation experiments, the method proposed in this paper has obvious advantages in sensing range and sensing accuracy compared with traditional jamming situation generation methods.