Research on Fusion Algorithm of Beidou and AIS Based on Improved Federated Filter

Abstract In order to solve the problem of insufficient accuracy and reliability ship position display in AIS(Automatic Identification System) system, a federated Kalman filter is designed, an open algorithm architecture built, AIS BDS positioning information sources are selected for fusion, fusion part framework improved by IMMF covariance crossover obtain more accurate reliable target motion state. Simulation experiments carried out, experimental results show that, compared with GPS or BDS(Bei Dou Navigation Satellite) alone, AIS/BDS combined based on structure has higher system fault tolerance, stability, improves safety navigation.