INERTIAL COASTING POSITION AND VELOCITY SOLUTION SEPARATION

    公开(公告)号:US20240337762A1

    公开(公告)日:2024-10-10

    申请号:US17575250

    申请日:2022-01-13

    IPC分类号: G01S19/49 G01S19/21

    CPC分类号: G01S19/49 G01S19/215

    摘要: An inertial coasting monitoring system comprises aiding sensors onboard a vehicle, including a GNSS receiver and at least one non-GNSS aiding sensor, and an inertial measurement unit (IMU) that produces inertial measurements for the vehicle. A navigation system is coupled to the aiding sensors and the IMU. The navigation system comprises a main navigation filter and an inertial navigation system (INS). The navigation filter receives aiding data from the aiding sensors including GNSS aided data, and the INS receives inertial data from the IMU. An onboard inertial coasting monitor communicates with the navigation system, and receives inertial data from the IMU and aiding data from at least one non-GNSS aiding sensor. The inertial coasting monitor comprises inertial coast sub-filters and communicates with the navigation filter. The inertial coasting monitor performs a position detection process and/or a velocity detection process to detect if there is a fault in the aiding data.

    Airborne positioning method in aviation navigation network based on multi-source information fusion

    公开(公告)号:US12061277B1

    公开(公告)日:2024-08-13

    申请号:US18383524

    申请日:2023-10-25

    IPC分类号: G01S19/47 G01S5/02 G01S19/49

    摘要: The present application discloses an airborne positioning method and system for an aviation navigation network, and relates to the technical field of satellite navigation. The airborne positioning method for an aviation navigation network is applied to an omnisource navigation system, and comprises the following steps: acquiring the original observation data of the omnisource navigation system; Filtering the original observation data based on dead reckoning to obtain filtered observation data; Unify that filtered observation data in time and space to obtain observation data to be fused; The adaptive fusion algorithm of omnisource navigation based on variance optimization is adopted to fuse the observation data to be fused to obtain the fused data; the fused data is used to characterize the position of the target aircraft at the current moment. The present application can improve the accuracy of the positioning result.

    GNSS and INS integrated navigation positioning method and system thereof

    公开(公告)号:US12019170B1

    公开(公告)日:2024-06-25

    申请号:US18496789

    申请日:2023-10-27

    摘要: 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.

    METHOD AND SYSTEM FOR NAVIGATION OF A VEHICLE

    公开(公告)号:US20240201399A1

    公开(公告)日:2024-06-20

    申请号:US18541232

    申请日:2023-12-15

    IPC分类号: G01S19/49 G01S19/39

    CPC分类号: G01S19/49 G01S19/393

    摘要: An iterative method for navigation of a vehicle, the method comprising: at a first processing element: receiving a set of satellite navigation data for the vehicle; receiving a validity time of the set of satellite navigation data; and receiving a series of sets of inertial navigation data each indicating acceleration and angular rate of the vehicle; after the validity time, storing received sets of inertial navigation data; at a second processing element: using a navigation filter algorithm, processing the received set of satellite navigation data together with a current position, velocity and attitude value of the vehicle, and a prediction of error states made by the navigation algorithm in a previous iteration, to generate an estimated position, velocity and attitude, and prediction of error states, of the vehicle; carrying out a catch up process comprising: obtaining a stored series of one or more sets of inertial navigation data comprising one or more sets of inertial navigation data which were received between the validity time and the completion of the processing the received set of satellite navigation data; using a set of inertial navigation data of the stored series which was the first set of inertial navigation data received after the validity time, and the estimated position, velocity and attitude of the vehicle, to calculate an updated position, velocity and attitude value of the vehicle; and for any remaining sets of inertial navigation data of the stored series, in turn, in order of reception, iteratively using each set of inertial navigation data and the updated position, velocity and attitude value of the vehicle to calculate a new updated position, velocity and attitude value of the vehicle; and sending the new updated position, velocity and attitude value of the vehicle to the first processing element; and at the first processing element, after receiving the new updated position and velocity value of the vehicle from the second processing element, for subsequently received sets of inertial navigation data, in turn, in order of reception, iteratively using each received set of inertial navigation data and the new updated position, velocity and attitude value of the vehicle to calculate a new updated position, velocity and attitude value of the vehicle; wherein the new updated position, velocity and attitude value of the vehicle at the validity time is used as the current position, velocity and attitude value of the vehicle by the navigation filter algorithm.

    Motion capture system and method
    8.
    发明授权

    公开(公告)号:US11960013B2

    公开(公告)日:2024-04-16

    申请号:US16980743

    申请日:2019-03-14

    发明人: Amir Patel Do Yeou Ku

    摘要: A motion capture system and method are provided. In a motion capture method, a plurality of motion datasets are accessed. Each motion dataset is associated with a motion sensing unit at which timestamped motion data points of that motion dataset are generated, each motion sensing unit is configured to be in physical contact with a different part of a body of interest. Each timestamped motion data point is timestamped at the motion sensing unit at which it is generated using a clock time that is synchronized across the plurality of motion sensing units. The timestamped motion data points are processed to generate a kinematic model which describes motion of the respective parts of the body of interest.