摘要:
Systems and methods for fault detection, exclusion, isolation, and re-configuration of navigation sensors using an abstraction layer are provided. In certain embodiments, a system includes a plurality of sensors that provide redundant sensor measurements, wherein redundancy of the redundant sensor measurements is achieved based on an independence between measurements from different physical sensor units in the plurality of sensors. The system additionally includes a fusion function configured to receive the redundant sensor measurements from each sensor in the plurality of sensors and calculate fused navigation parameters. Further, the system includes an abstraction layer that calculates an estimated state based on the fused navigation parameters, wherein the estimated state comprises safety assessment information for the fused navigation parameters and the fused navigation parameters. Moreover, the system includes a plurality of user systems, wherein each user system in the plurality of user systems receives the estimated state from the abstraction layer.
摘要:
A method is provided. The method comprises: initializing at least one non-linear filter configured to provide at least one predictive measurement estimate probability density function; obtaining measurement data; determining if the measurement data is consistent; and if the measurement data is consistent, then estimating at least one state parameter with the at least one non-linear filter using the measurement data.
摘要:
A system and methods for monitoring the integrity of navigation measurement information are disclosed. One method includes receiving a plurality of navigation measurement values, computing a first set and second set of estimates of the navigation measurement values, comparing the first set to the second set, and if the second set is statistically consistent with the first set, computing a plurality of sub-sets of the second set of estimates, computing a sub-solution for each sub-set of the second set of estimates, and computing an integrity value for each sub-solution.
摘要:
A system is provided. The system comprises: a processing system comprising a memory coupled to a processor; wherein the processing system is configured to be coupled to at least one sensor; wherein the memory comprises a grid adaptation system, a system model, measurement data, and an estimation system; wherein the measurement data comprises data measured by the at least one sensor; wherein the estimation system is configured to provide probability density functions (PDFs) for a predictive estimate and a filtered estimate of a state in a form of a point-mass density; and wherein the grid adaption system is configured to adapt grid parameters of a predictive estimate and a filtered estimate.
摘要:
Methods for radar altimeter integrity monitoring are provided. One method comprises obtaining one or more GNSS measurements, or one or more hybridized GNSS/INS measurements, in an earth-centered-earth-fixed (ECEF) coordinate frame for a vehicle; obtaining one or more altitude measurements from one or more radar altimeters; transforming the altitude measurements into the ECEF coordinate frame using a terrain map and a GNSS or hybridized GNSS/INS based position estimate with ensured integrity; determining a full solution estimate of position for the vehicle based on the transformed altitude measurements, and the GNSS or hybridized GNSS/INS measurements; determining one or more sub-solution estimates of position based on a subset of the transformed altitude measurements, and the GNSS or hybridized GNSS/INS measurements; comparing the full solution estimate with the sub-solution estimates using statistical analysis; and determining an altitude protection level based on a probability of hazardous misleading information and a probability of false detection.
摘要:
Using geo-mapping data and only at least one inertial sensor, a Bayesian estimator uses at least one element of an uncorrected inertial navigation vector, of a moveable object on a surface, to estimate inertial navigation error information including corresponding statistical information. The estimated inertial navigation error information is used to error correct the uncorrected inertial navigation vector. The Bayesian filter also predicts inertial navigation error information, including corresponding statistical information, for a future time instance when a next uncorrected inertial navigation vector will be obtained.
摘要:
One embodiment is directed towards a method (200) for determining a heading for a hybrid navigation system with magnetometer aiding. The method includes receiving signals (202) from a plurality of GNSS satellites, obtaining three-dimensional inertial measurements (202) from one or more inertial sensors, and obtaining three-dimensional magnetic measurements (202) from one or more magnetometers. Magnetic bias states (204) are estimated for the three-dimensional magnetic measurements with a magnetic calibration filter using the three-dimensional inertial measurements, data from the signals from the plurality of GNSS satellites, and the three-dimensional magnetic measurements. An artificial heading (206) is calculated based on the magnetic bias states. A main navigation solution (208) can be estimated with a main navigation filter using the three-dimensional inertial measurements, data from the signals from a plurality of GNSS satellites, and the artificial heading.
摘要:
One embodiment is directed towards a method (200) for determining a heading for a hybrid navigation system with magnetometer aiding. The method includes receiving signals (202) from a plurality of GNSS satellites, obtaining three-dimensional inertial measurements (202) from one or more inertial sensors, and obtaining three-dimensional magnetic measurements (202) from one or more magnetometers. Magnetic bias states (204) are estimated for the three-dimensional magnetic measurements with a magnetic calibration filter using the three-dimensional inertial measurements, data from the signals from the plurality of GNSS satellites, and the three-dimensional magnetic measurements. An artificial heading (206) is calculated based on the magnetic bias states. A main navigation solution (208) can be estimated with a main navigation filter using the three-dimensional inertial measurements, data from the signals from a plurality of GNSS satellites, and the artificial heading.