Shandong University

Yuqing Feng

Kun Wang

Jinjie Sun

Ying Xu

The present disclosure relates to the field of GNSS and INS integrated navigation technology, and specifically discloses a GNSS and INS integrated navigation positioning method and a system thereof. To addresses the technical problem of positioning error divergence in integrated navigation systems caused by insufficient satellite visibility or strong multipath effects in GNSS denial environments, a method combining motion constraint algorithm and neural network algorithm is proposed for robustness by the present disclosure. The motion constraint algorithm is very stable, but it cannot self-adaptively adjust the constraint threshold based on the vehicle motion state. The neural network algorithm has strong flexibility, but the obtained predicted values inevitably have outliers. The present disclosure combines motion constraints with the neural network algorithms, enabling these two algorithms to complement advantages of each other, thereby effectively improving the positioning accuracy and reliability of the integrated navigation system after GNSS losing lock.

Growing community of inventors

Qingdao, China

Yuqing Feng