Pure inertia deep learning navigation method and device based on redundant accelerometer

The invention discloses a pure inertia deep learning navigation method and device based on a redundant accelerometer, the pure inertia deep learning navigation method and device are applied to a carrier, and the device comprises an inertial navigation system module, a redundant accelerometer module,...

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Bibliographic Details
Main Authors LIANG DALEI, HE QINYUAN, YU HUAPENG
Format Patent
LanguageChinese
English
Published 17.05.2024
Subjects
GYROSCOPIC INSTRUMENTS
MEASURING
MEASURING DISTANCES, LEVELS OR BEARINGS
NAVIGATION
PHOTOGRAMMETRY OR VIDEOGRAMMETRY
PHYSICS
SURVEYING
TESTING
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Summary:The invention discloses a pure inertia deep learning navigation method and device based on a redundant accelerometer, the pure inertia deep learning navigation method and device are applied to a carrier, and the device comprises an inertial navigation system module, a redundant accelerometer module, a synchronous clock module, an attitude error resolving module and a navigation comprehensive resolving module; wherein a gyroscope and a first accelerometer are arranged in the inertial navigation system module; a redundant second accelerometer is arranged in the redundant accelerometer module; the synchronous clock module is used for uniformly controlling the redundant accelerometer module and the inertial navigation system module and sending a clock signal; the attitude error resolving module is used for inverting the correction value of the attitude error according to the information of the redundant accelerometer module and the inertial navigation system module to realize error suppression; and the navigation
Bibliography:Application Number: CN202410367607