Navigation aids for unmanned aerial systems in a gps-denied environment

US2018010914A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018010914-A1
Application numberUS-201715592001-A
CountryUS
Kind codeA1
Filing dateMay 10, 2017
Priority dateJul 5, 2016
Publication dateJan 11, 2018
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

Example navigation aids for increasing the accuracy of a navigation system are disclosed herein. An example method disclosed herein identifying, with an aircraft intent description language (AIDL) aid, an AIDL instruction as associated with a first dynamic activity level of a plurality of dynamic activity levels and determining, with the AIDL aid, an aircraft state to be affected by the AIDL instruction. The example method also includes changing, with a navigation filter, a weighting scheme for a measurement of the aircraft state obtained by an inertial navigation system (INS) of the aircraft and estimating, with the navigation filter, a trajectory of the aircraft based on the weighting scheme and the measurement.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method comprising: identifying, with an aircraft intent description language (AIDL) aid, an AIDL instruction as associated with a first dynamic activity level of a plurality of dynamic activity levels; determining, with the AIDL aid, an aircraft state to be affected by the AIDL instruction; changing, with a navigation filter, a weighting scheme for a measurement of the aircraft state obtained by an inertial navigation system (INS) of the aircraft; and estimating, with the navigation filter, a trajectory of the aircraft based on the weighting scheme and the measurement. 2 . The method of claim 1 , wherein the plurality of dynamic activity levels include the first dynamic activity level and a second dynamic activity level, the first dynamic activity level associated with a high dynamic activity and the second dynamic activity level associated with a low dynamic activity. 3 . The method of claim 2 , wherein changing the weighting scheme for the measurement includes assigning a lower weight to the measurement. 4 . The method of claim 1 , wherein the navigation filter includes an Extended Kalman Filter (EKF), and wherein changing the weighting scheme for the measurement includes increasing or decreasing a covariance factor of the measurement in at least one of a process noise matrix Q or a measurement noise matrix R of the EKF. 5 . The method of claim 1 , wherein the measurement is a first measurement, further including: generating an internal dynamic model of the aircraft; and determining a second measurement for the aircraft state based on the internal dynamic model. 6 . The method of claim 5 , wherein changing the weighting scheme for the first measurement includes assigning a higher weight to the second measurement. 7 . The method of claim 1 , wherein identifying the AIDL instruction as a high dynamic activity includes: comparing a maneuver associated with the AIDL instruction to a threshold; and identifying the AIDL instruction as the first dynamic activity level based on the comparison. 8 . The method of claim 1 further including determining when the aircraft is in a GPS-denied environment. 9 . The method of claim 8 further including changing the weighting scheme for the measurement of the aircraft state in response to the aircraft being in the GPS-denied environment. 10 . The method of claim 1 , wherein the navigation filter estimates the trajectory of the aircraft without an absolute position measurement. 11 . An aircraft comprising: an inertial navigation system (INS) to obtain a measurement of an aircraft state; an aircraft intent description language (AIDL) aid to identify an AIDL instruction of an aircraft as associated with a dynamic activity level, the aircraft state affected by the AIDL instruction; and a navigation filter to change a weighting scheme for the measurement of the aircraft state and estimate a location of the aircraft based on the weighting scheme and the measurement. 12 . The aircraft of claim 11 , wherein the navigation filter is to change the weighting scheme for the measurement by assigning a lower weight to the measurement if the dynamic activity level is a high dynamic activity level. 13 . The aircraft of claim 11 , wherein the navigation filter includes an Extended Kalman Filter (EKF), and wherein the EKF is to increase or decrease a covariance factor of the measurement in at least one of a process noise matrix Q or a measurement noise matrix R of the EKF. 14 . The aircraft of claim 11 , wherein the navigation filter estimates the location of the aircraft without an absolute position measurement. 15 . The aircraft of claim 11 , wherein the INS includes at least one of an accelerometer, a gyroscope, a magnetometer, a static pressure sensor, a dynamic pressure sensor or a temperature sensor. 16 . A tangible computer readable storage medium comprising instructions that, when executed, cause a machine to at least: identify an AIDL instruction as associated with a high dynamic activity; determine an aircraft state to be affected by the AIDL instruction; change a weighting scheme for a measurement of the aircraft state obtained by an inertial navigation system (INS) of the aircraft; and estimate a trajectory of the aircraft based on the weighting scheme and the measurement. 17 . The tangible computer readable storage medium of claim 16 , wherein the measurement is a first measurement, the instructions further to cause the machine to: generate an internal dynamic model of the aircraft; and determine a second measurement for the aircraft state based on the internal dynamic model. 18 . The tangible computer readable storage medium of claim 17 , wherein the instructions, when executed, cause the machine to change the weighting scheme for the first measurement by assigning a higher weight to the second measurement. 19 . The tangible computer readable storage medium of claim 16 , wherein the instructions, when executed, are to identify the aircraft AIDL instruction as the high dynamic activity by: comparing a maneuver associated with the AIDL instruction to a threshold; and identifying the AIDL instruction as the high dynamic activity based on the comparison. 20 . The tangible computer readable storage medium of claim 16 , wherein the instructions, when executed, cause the machine to estimate the trajectory of the aircraft without an absolute position measurement.

Assignees

Inventors

Classifications

  • autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS] · CPC title

  • Combined instruments indicating more than one navigational value, e.g. for aircraft; Combined measuring devices for measuring two or more variables of movement, e.g. distance, speed or acceleration · CPC title

  • Aircraft control not otherwise provided for · CPC title

  • combined with non-inertial navigation instruments · CPC title

  • for accumulated errors, e.g. by coupling inertial systems with absolute positioning systems · CPC title

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What does patent US2018010914A1 cover?
Example navigation aids for increasing the accuracy of a navigation system are disclosed herein. An example method disclosed herein identifying, with an aircraft intent description language (AIDL) aid, an AIDL instruction as associated with a first dynamic activity level of a plurality of dynamic activity levels and determining, with the AIDL aid, an aircraft state to be affected by the AIDL in…
Who is the assignee on this patent?
Boeing Co
What technology area does this patent fall under?
Primary CPC classification G01C21/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Jan 11 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).