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Position estimator for global navigation satellite system receiver in e.g. military applications, has Bayes filter for which two state transition models are predetermined, where one model describes development of position of receiver
Position estimator for global navigation satellite system receiver in e.g. military applications, has Bayes filter for which two state transition models are predetermined, where one model describes development of position of receiver
The estimator (113) has a Bayes filter for which two state transition models and two measuring models are predetermined. The filter uses one of the state transition models and one of the measuring models during presence of a movement state, and uses the other state transition model and the other measuring model during the presence of another movement state. The latter state transition model describes development of a position of a global navigation satellite system receiver (100), a time offset of a clock of the receiver and errors. The Bayes filter is designed as a Kalman filter, an extended Kalman filter or a particulate filter. An independent claim is also included for a method for position estimation for a global navigation satellite system receiver.
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