Sanqiang Yu

Indoor Geomagnetic Matching Location Based on Iterative Local Search and Improved Particle Swarm Fusion

In the complex indoor environment, geomagnetic matching is an effective way to realize indoor positioning of mobile robots. Aiming at the problem that the application of Particle Swarm Optimization (PSO) algorithm leads to the decline of geomagnetic matching accuracy, stability and convergence speed