Sky-Ground Wave Signal Separation in Enhanced Loran Based on Particle Swarm Optimization Algorithm

This article proposes a high-precision algorithm for ELoran signal sky-ground wave separation based on particle swarm optimization (PSO) algorithm. The simulation results show that the performance of this algorithm is significantly better than other algorithms, especially in low signal-to-noise ratio situations. The algorithm proposed in this paper has higher accuracy and stability. For actual measured signals, this algorithm can accurately separate the sky and earth wave signals and is easy to implement in engineering.