This paper presents the simulation results of a hybrid positioning system based on a pedestrian navigation system that takes advantage of very few measurements of different types as well as map constraints. The data fusion is achieved at infrastructure and user level. Particle and extended Kalman filters are implemented and tested against different beacon density scenarios. Results show that metric accuracy (below 3 meters) is achievable in structured areas of low beacons and WiFi AP density.