High accuracy angle of arrival estimation using estimated range to target node

US11067660B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11067660-B2
Application numberUS-201916555623-A
CountryUS
Kind codeB2
Filing dateAug 29, 2019
Priority dateOct 18, 2017
Publication dateJul 20, 2021
Grant dateJul 20, 2021

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

An angle of arrival system can be self-calibrating. The angle of arrival system can continuously estimate imperfections caused by the analog RF components and dynamically apply corrections based on these estimates. As a result, an angle of arrival system can employ inexpensive components, will not require factory calibration, but can still perform geolocation with high precision.

First claim

Opening claim text (preview).

What is claimed: 1. A method, performed by an angle of arrival node in an angle of arrival system, for self-calibrating using a calibration node to thereby enable estimating an angle of arrival of a signal emitted by a node at an unknown location, the method comprising: receiving, at each of a plurality of antennas of an antenna array, a first signal emitted by a calibration node having a known location relative to the antenna array, the antennas being coupled to a modem via an RF chain; generating, by the modem, a first covariance matrix representing phase differences of the first signal received at each of the antennas; based on the known location of the calibration node, calculating a correction matrix that represents phase rotation caused by the RF chain; receiving, at each of the plurality of antennas of the antenna array, a second signal emitted by a node at an unknown location; generating, by the modem, a second covariance matrix representing phase differences of the second signal received at each of the antennas; applying the correction matrix to the second covariance matrix to generate a corrected second covariance matrix, the correction matrix at least partially removing the phase rotation caused by the RF chain; correlating the corrected second covariance matrix with a steering vector for each angle of interest, the steering vector including an estimated range from the antenna array to the node at the unknown location, wherein the angle of interest that corresponds to the largest correlation between the corrected second covariance matrix and the steering vector is chosen to be the estimated angle of arrival. 2. The method of claim 1 , wherein calculating the correction matrix comprises: calculating a first component of the first covariance matrix that represents phase differences caused by a known angle of arrival of the first signal; and applying the first component to the first covariance matrix to produce a second component of the first covariance matrix that represents the phase rotation caused by the RF chain. 3. The method of claim 2 , wherein applying the first component to the first covariance matrix comprises performing an element by element product of the first covariance matrix and the conjugate of the first component. 4. The method of claim 2 , wherein the first component is calculated using a known position of each antenna in the antenna array and the known location of the calibration node. 5. The method of claim 2 , wherein calculating the correction matrix further comprises: creating a vector from a first column of the second component; normalizing each element in the vector; multiplying the normalized vector with the conjugate transpose of the normalized vector; and conjugating the results of the multiplication. 6. The method of claim 1 , further comprising: receiving input that defines the known location of the calibration node. 7. The method of claim 1 , wherein the known location of the calibration node is relative to a boresight vector of the antenna array. 8. The method of claim 7 , wherein the known location comprises an elevation angle and an azimuth angle relative to the boresight vector of the antenna array. 9. The method of claim 1 , further comprising: updating the correction matrix to reflect a change in the phase rotation caused by the RF chain; and applying the updated correction matrix to another covariance matrix that is generated to represent phase differences of the second signal received at a later time at each of the antennas. 10. The method of claim 1 , wherein the first signal is repeatedly received and the correction matrix is repeatedly updated to reflect updates to the first covariance matrix that occur as a result of changes in the phase rotation caused by the RF chain. 11. The method of claim 1 , wherein the steering vector for each angle of interest is calculated in a time period before the second signal is received. 12. The method of claim 1 , wherein the steering vector for each angle of interest is calculated in the same time period as the second signal is received. 13. The method of claim 1 , wherein the node at the unknown location comprises an aircraft, a vehicle, a projectile, or an individual. 14. A self-calibrating angle of arrival system comprising: an angle of arrival node that includes an antenna array, a modem, and an RF chain that couples each antenna of the antenna array to the modem; and a calibration node that is configured to emit a first signal for reception by the antenna array, the calibration node having a known location relative to the antenna array; wherein the angle of arrival node is configured to self-calibrate using the calibration node to thereby enable a precise estimation of an angle of arrival of a second signal emitted by a node at an unknown location by performing the following: receive, at each of the antennas of the antenna array, the first signal emitted by the calibration node; generate, by the modem, a first covariance matrix representing phase differences of the first signal received at each of the antennas; based on the known location of the calibration node, calculate a correction matrix that represents phase rotation caused by the RF chain; receive, at each of the plurality of antennas of the antenna array, the second signal emitted by the node at the unknown location; generating, by the modem, a second covariance matrix representing phase differences of the second signal received at each of the antennas; applying the correction matrix to the second covariance matrix remove the phase rotation caused by the RF chain; and correlate the corrected second covariance matrix with a steering vector for each angle of interest, the steering vector including an estimated range from the antenna array to the node at the unknown location, wherein the angle of interest that corresponds to the largest correlation between the corrected second covariance matrix and the steering vector is chosen to be the estimated angle of arrival. 15. The angle of arrival system of claim 14 , wherein the angle of arrival node generates the correction matrix by: generating a calibration covariance matrix representing phase differences of the first signal received at each of the antennas; calculating a first component of the calibration covariance matrix that represents phase differences caused by a known angle of arrival of the first signal; and applying the first component to the calibration covariance matrix to produce a second component of the calibration covariance matrix that represents the phase rotation caused by the RF chain. 16. The angle of arrival system of claim 14 , wherein the angle of arrival node generates the correction matrix by: creating a vector from a first column of the second component; normalizing each element in the vector; multiplying the normalized vector with the conjugate transpose of the normalized vector; and conjugating the results of the multiplication. 17. The angle of arrival system of claim 14 , wherein the correction matrix is repeatedly generated to reflect a current phase rotation caused by the RF chain. 18. The angle of arrival system of claim 14 , wherein the modem is configured to receive the known location of the calibration node as input. 19. A method, performed by an angle of arrival node in an angle of arrival system, for self-calibrating using a calibration node to thereby enable estimating an angle of arrival of a signal emitted by a node at an unknown location, the method compris

Assignees

Inventors

Classifications

  • G01S3/023Primary

    Monitoring or calibrating · CPC title

  • G01S3/46Primary

    using antennas spaced apart and measuring phase or time difference between signals therefrom, i.e. path-difference systems · CPC title

  • Means for determining sense of direction, e.g. by combining signals from directional antenna or goniometer search coil with those from non-directional antenna (determining direction by amplitude comparison of signals derived by combining directional and non-directional signals G01S3/24, G01S3/34) · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US11067660B2 cover?
An angle of arrival system can be self-calibrating. The angle of arrival system can continuously estimate imperfections caused by the analog RF components and dynamically apply corrections based on these estimates. As a result, an angle of arrival system can employ inexpensive components, will not require factory calibration, but can still perform geolocation with high precision.
Who is the assignee on this patent?
L3Harris Technologies Inc
What technology area does this patent fall under?
Primary CPC classification G01S3/023. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 20 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).