Two Decentralized Filtering Algorithms Compare and Application on Vehicle Navigation
Tian Rongjun · Journal of Projectiles.Rockets.Missiles and Guidance · 2009
Comparative study local feedback federal filtering and cascaded filtering algorithm,for DR/INS/GPS integrated navigation for vehicle system of multi-sources information fusion. The vehicle-experimental result proved that,both algorithm can improve the precision and reliability under normal condition (without sensor failure); furthermore,the algorithm based on local feedback federal filtering has higher position precision; however,the cascaded filtering can eliminate previous DR error accumulation,avoid burst jump and burrs in navigation output while GPS outages,which is more valuable for practical application.