@inproceedings{634fc114f3a34e48bb4be7cf3296902d,
title = "High dynamic GPS/INS integrated navigation fusion algorithm assisted by neural network",
abstract = "The phenomena of the disconvergency of Kalman filter occurs in case of lock-lose or absence in GPS(global positioning system) navigation based on carrier phases in the high dynamic environment. We propose a new method to enhance the performance of GPS/IN S(intertial navigation system) integrated navigation system during the GPS signal loss. The method is based on using a ANN(artificial neural netwok) to intelligently aid the GPS/INS integrated navigation system in the absence of GPS signal.The ANN is trained in every filter period during the GPS signal on;When the GPS is off,The output of the previously trained ANN is as the input of the same Kalman filter. The proposed enhanced GPS/INS can be used in the high dynamic environment of a autonomous carrier.A simulation indicates that the method is valid.",
keywords = "BP neural network, High dynamic, Integrated navigation, Kalman filter",
author = "Minhu Zhang and Zhang Ren",
year = "2008",
doi = "10.1109/CHICC.2008.4605661",
language = "英语",
isbn = "9787900719706",
series = "Proceedings of the 27th Chinese Control Conference, CCC",
pages = "721--724",
booktitle = "Proceedings of the 27th Chinese Control Conference, CCC",
note = "27th Chinese Control Conference, CCC ; Conference date: 16-07-2008 Through 18-07-2008",
}