Intelligent reconstruction algorithm of electromagnetic map based on propagation model

In view of the fact that electromagnetic maps can be used to depict the distribution of electromagnetic spectrum in detail, and to support electromagnetic spectrum analysis and management, as well as network design and optimization, this paper studies an intelligent reconstruction algorithm of electromagnetic map based on propagation model in the application field scenario of integrated sensing and communication (ISAC) technology. Firstly, the propagation model is used to model the variogram function, and then the improved particle swarm optimization algorithm is used to solve the expression of the variogram function, and the semi-variovariation values of the points to be estimated and the sampling points are obtained according to the variogram function. Then, the spatial interpolation method combined with the semi-variant value is used to estimate the estimated points, and finally the reconstructed electromagnetic map is obtained. Experimental simulation and comparison prove the effectiveness and advancement of the proposed algorithm.