公开(公告)号：US20170131096A1

公开(公告)日：2017-05-11

申请号：US14933997

申请日：2015-11-05

Applicant: Raytheon Company

Inventor： Valeri I. Karlov ,  John D. Hulsmann ,  Aaron Maestas ,  Christopher J. Cormier ,  Anthony Sommese ,  Owen Lewis

IPC: G01C1/10 ,  G01C21/02 ,  G01C21/16

CPC classification number: G01C1/10 ,  G01C1/08 ,  G01C21/02 ,  G01C21/025 ,  G01C21/165 ,  G01S3/7867 ,  G01S3/7868 ,  G01S5/16 ,  G01S19/48

Abstract: Technology for determining a position of a platform is described. A location of a horizon line can be determined using a sensor onboard the platform. One or more celestial objects in the sky can be detected using the sensor onboard the platform. Differential angular measurements between the horizon line and at least one of the celestial objects in the sky can be determined over a duration of time. The position of the platform can be determined based on the differential angular measurements between the horizon line and the celestial objects.

公开(公告)号：US09909866B2

公开(公告)日：2018-03-06

申请号：US14933997

申请日：2015-11-05

Applicant: Raytheon Company

Inventor： Valeri I. Karlov ,  John D. Hulsmann ,  Aaron Maestas ,  Christopher J. Cormier ,  Anthony Sommese ,  Owen Lewis

IPC: G01C1/10 ,  G01C21/02 ,  G01C21/16

CPC classification number: G01C1/10 ,  G01C1/08 ,  G01C21/02 ,  G01C21/025 ,  G01C21/165 ,  G01S3/7867 ,  G01S3/7868 ,  G01S5/16 ,  G01S19/48

Abstract: Technology for determining a position of a platform is described. A location of a horizon line can be determined using a sensor onboard the platform. One or more celestial objects in the sky can be detected using the sensor onboard the platform. Differential angular measurements between the horizon line and at least one of the celestial objects in the sky can be determined over a duration of time. The position of the platform can be determined based on the differential angular measurements between the horizon line and the celestial objects.

公开(公告)号：US11841432B2

公开(公告)日：2023-12-12

申请号：US16897858

申请日：2020-06-10

Applicant: RAYTHEON COMPANY

Inventor： Valeri I. Karlov ,  Steven A. Miles ,  Aaron Maestas ,  Jason R. Mcmurtrey

IPC: G01S17/50 ,  G01S7/48 ,  G01S17/42

CPC classification number: G01S17/50 ,  G01S7/4808 ,  G01S17/42

Abstract: A method for determining positions of moving targets in unbiased three-dimensional (3D) measurement spaces using data collected against the moving targets by an electro-optical or infrared (EO/IR) sensor, the method comprising receiving data collected from electrical signals reflected from the moving targets in a first focal plane of the EO/IR sensor at a first time point, receiving data collected from electrical signals reflected from the moving targets in a second focal plane of the EO/IR sensor at a second time point, generating two-dimensional (2D) measurement data for the moving targets in the first and second focal planes, calculating 3D target velocities for the moving targets using the 2D measurement data, and estimating local 3D positions within a first unbiased 3D measurement space for the moving targets at the first and second time points based on the 3D target velocity.

公开(公告)号：US20210389461A1

公开(公告)日：2021-12-16

申请号：US16897858

申请日：2020-06-10

Applicant: RAYTHEON COMPANY

Inventor： Valeri I. Karlov ,  Steven A. Miles ,  Aaron Maestas ,  Jason R. Mcmurtrey

IPC: G01S17/50 ,  G01S17/42 ,  G01S7/48

Abstract: A method for determining positions of moving targets in unbiased three-dimensional (3D) measurement spaces using data collected against the moving targets by an electro-optical or infrared (EO/IR) sensor, the method comprising receiving data collected from electrical signals reflected from the moving targets in a first focal plane of the EO/IR sensor at a first time point, receiving data collected from electrical signals reflected from the moving targets in a second focal plane of the EO/IR sensor at a second time point, generating two-dimensional (2D) measurement data for the moving targets in the first and second focal planes, calculating 3D target velocities for the moving targets using the 2D measurement data, and estimating local 3D positions within a first unbiased 3D measurement space for the moving targets at the first and second time points based on the 3D target velocity.