Regional Electromagnetic Environment Multi-Domain Sensing Algorithm Based on Hybrid Intelligent Optimization

Abstract

Electromagnetic environment signals are time-varying and non-stationary under harsh conditions, which cannot meet the basic requirements of ordinary Kriging interpolation method. Therefore, the paper proposes a high precision prediction algorithm for electromagnetic environment based on hybrid intelligent optimization. The algorithm combines particle swarm optimization algorithm and artificial colony algorithm to fit variogram, so as to break through the limitations of mathematical statistics optimization or single intelligent optimization algorithm in regional electromagnetic environment prediction. In addition, we modeled the regional electromagnetic environment from time, space, frequency and energy domain. Compared with other algorithms, the paper improves prediction accuracy and convergence speed.