Novatel Inc.

Michael Bobye

Thomas John Ford

Kristian Morin

Jason Hamilton

Patrick C Fenton

Sandy Kennedy

Sandra Kennedy

Tom Ford

Techniques are provided for analyzing multiple filters in a solution domain to identify filter instability. A processor may compute, for each filter, a residual value for each of one or more update types utilizing misclosure values that correspond to the update type and are from a rolling history. The processor may compute a ratio value from the residual values computed for the same update type and across two different filters. The ratio value may indicate which filter is experiencing a larger magnitude of difference between two solutions utilized to generate a combined solution. The processor may compare the ratio value, over a time period, with one or more threshold values to identify at least one unstable filter. In response, the processor may take one or more actions, e.g., using the solution from a stable filter instead of the unstable filter, re-initializing the unstable filter using the stable filter, etc.

Systems, methods, and media for analyzing multiple filters in a solution domain to identify filter instability

A system and method for dead reckoning for marine positioning applications is provided. After INS mechanization, an exponential moving average (EMA) is calculated that is used to generate an update for a Kalman filter. The use of the EMA allows the system to limit position error in a linear fashion while being self-contained.

System and method for dead reckoning for marine positioning applications

A relative navigation system comprising of a pair of Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS) units that communicate to provide updated position, velocity and attitude information from a master to a rover. The rover unit produces a carrier based solution that enables the system to reduce the uncorrelated low latency position error between the master and the rover units to less than 50 cm.

Relative position navigation system for multiple moving vehicles

In an example embodiment, motion is detected with an IMU utilizing standard deviation. Specifically, an IMU may obtains IMU measurements. An IMU motion detection process may accumulate a particular number of IMU measurements over a time interval to calculate an absolute magnitude of earth rate (ER) value and an absolute magnitude of normal gravity value (GN). The values calculated may be referred to as a sample. The IMU motion detection process may create sample rolling histories based on a particular number of samples, e.g., consecutive samples. The IMU motion detection process may then calculate standard deviation values for a sample rolling history based on the ERand GNvalues included in the sample rolling history. The IMU motion detection process may compare the standard deviation values to respective motion threshold values, which may be adaptive, to determine if a body of interest, e.g., vehicle, is moving or is stationary.

System and method for IMU motion detection utilizing standard deviation

A system operating in a dead reckoning mode accumulates relative yaw measurements, i.e., measurements of rotation about a z-axis, made by one or more over mechanization update intervals and produces dead reckoning mechanization update values. The system accumulates the values over a turn rate accumulation period, calculates a yaw rate and determines if the yaw rate exceeds a turn rate threshold. If so, the system directs an INS filter to perform a zero yaw rate update at the start of a next mechanization update interval, to correct for the z-axis drift errors of the gyroscopes based on the sensed rotation in the relative yaw measurements over the previous mechanization update interval. The system then sets the z-axis drift errors to zero. If the system determines that the yaw rate exceeds the turn rate threshold, the zero yaw rate update is not performed at the start of the next mechanization update interval.

Navigation system utilizing yaw rate constraint during inertial dead reckoning

A navigation system that utilizes yaw rate constraint during inertial dead reckoning is provided. The system accumulates relative yaw measurements to produce dead reckoning mechanization update values. The system corrects for z axis drift errors.

A system and method for providing location information using a long baseline accelerometer/GNSS system. A first set of accelerometers is operatively associated with the first GNSS antenna while a second set of accelerometers is operatively associated with a second (or more) GNSS antenna. The multiple assemblies are separated by predefined distances and held rigid to each other. Accelerometer data is combined with the GNSS data to provide improved navigation and location information.

System and method for long baseline accelerometer/GNSS navigation

A GNSS/INS navigation system includes an INS filter that uses relative yaw values as an observable for attitude updates. The system calculates the relative yaw values based on carrier phase measurements, e.g., phase windup measurements, of GNSS signals received at a system GNSS antenna. The use of the relative yaw values as an observable in the INS filter allows the system to improve estimates of associated biases, and also to continue to estimate the associated biases in low dynamic environments.

GNSS and inertial navigation system utilizing relative yaw as an observable for an ins filter

A navigation system for use with moving vehicles includes target points proximate to a rendezvous site located on a first moving vehicle. One or more transmitters broadcast target point positioning information. A navigation unit on a second moving vehicle utilizes a camera to capture images that include the target points or a detector system that emits one or more beams to the target points. The navigation unit determines the relative position and orientation of the rendezvous site at the second vehicle. The navigation unit utilizes the relative position and orientation and an absolute position and orientation of the rendezvous site calculated from the target position information and calculates an absolute position and orientation corresponding to the second vehicle. The navigation unit then initializes its component inertial subsystem using a local position and orientation that are based on the calculated absolute position and orientation of the second vehicle.

Navigation system with rapid GNSS and inertial initialization

A navigation system for use with moving vehicles includes target points proximate to a rendezvous site located on a first moving vehicle. One or more transmitters associated with the target points broadcast time-tagged target point positioning information. A navigation unit on a second moving vehicle utilizes a camera with known properties to capture images that include the target points. The navigation unit processes the image that corresponds in time to the positioning information, to determine the relative position and orientation of the rendezvous site at the second vehicle. The navigation unit utilizes the relative position and orientation and an absolute position and orientation of the rendezvous site calculated from the target position information and calculates an absolute position and orientation corresponding to the second vehicle. The navigation unit then initializes its component inertial subsystem using a local position and orientation that are based on the calculated absolute position and orientation of the second vehicle.

An inertial ('INS')/GPS receiver uses injected alignment data to determine the alignment of the INS sub-system when the receiver is in motion during start-up. The alignment data is determined from parameterized surface information, measured GPS velocity, and a known or predetermined angular relationship between the vehicle on which the receiver is mounted and an inertial measurement reference, or body, frame associated with the accelerometers and gyroscopes of the inertial measuring unit ('IMU'). The parameterized surface information, which provides a constraint, may be the orientation of the surface over which the vehicle that houses the receiver is moving. The receiver uses the initial GPS position to determine the location of the vehicle on the parameterized surface, and thus, the known surface orientation. The receiver then determines the roll, pitch and heading of the vehicle on the surface using the associated GPS velocity vector. Thereafter, the receiver uses the calculated roll, pitch and heading of the vehicle and the known or predetermined angular relationship between the vehicle and the IMU body frame to determine a rotation matrix that relates the IMU body frame to a computation or referenced frame used by the receiver.

Inertial GPS navigation system using injected alignment data for the inertial system

An inertial ('INS')/GPS receiver includes an INS sub-system which incorporates, into a modified Kalman filter, GPS observables and/or other observables that span previous and current times. The INS filter utilizes the observables to update position information relating to both the current and the previous times, and to propagate the current position, velocity and attitude related information. The GPS observable may be delta phase measurements, and the other observables may be, for example, wheel pick-offs (or counts of wheel revolutions) that are used to calculate along track differences, and so forth. The inclusion of the measurements in the filter together with the current and the previous position related information essentially eliminates the effect of system dynamics from the system model. A position difference can thus be formed that is directly observable by the phase difference or along track difference measured between the previous and current time epochs. Further, the delta phase measurements can be incorporated in the INS filter without having to maintain GPS carrier ambiguity states. The INS sub-system and the GPS sub-system share GPS and INS position and covariance information. The receiver time tags the INS and any other non-GPS measurement data with GPS time, and then uses the INS and GPS filters to produce INS and GPS position information that is synchronized in time. The GPS/INS receiver utilizes GPS position and associated covariance information and the GPS and/or other observables in the updating of the INS filter. The INS filter, in turn, provides updated system error information that is used to propagate inertial current position, velocity and attitude information. Further, the receiver utilizes the inertial position, velocity and covariance information in the GPS filters to speed up GPS satellite signal re-acquisition and associated ambiguity resolution operations

Growing community of inventors

Calgary, Canada

Michael Bobye