公开(公告)号：US11280899B2

公开(公告)日：2022-03-22

申请号：US16804978

申请日：2020-02-28

Applicant: THE BOEING COMPANY

Inventor： Qin Jiang ,  David Payton ,  Adour Vahe Kabakian ,  Joshua Haug ,  Brian N. Limketkai

IPC: G01S13/90 ,  G01S13/933 ,  G01S13/00

Abstract: A method of identifying a target from synthetic aperture radar (SAR) data without incurring the computational load associated with generating an SAR image. The method includes receiving SAR data collected by a radar system including RF phase history data associated with reflected RF pulses from a target in a scene, but excluding an SAR image. Range profile data is determined from the SAR data by converting the RF phase history data into a structured temporal array that can be applied as input to a classifier incorporating a recurrent neural network, such as a recurrent neural network made up of long short-term memory (LSTM) cells that are configured to recognize temporal or spatial characteristics associated with a target, and provide an identification of a target based on the recognized temporal or spatial characteristic.

公开(公告)号：US20220229173A1

公开(公告)日：2022-07-21

申请号：US17456345

申请日：2021-11-23

Applicant: The Boeing Company

Inventor： Qin Jiang ,  David Wayne Payton ,  Soheil Kolouri ,  Adour Vahe Kabakian ,  Brian N. Limketkai

IPC: G01S13/90

Abstract: Disclosed is a synthetic aperture radar (SAR) system for target recognition with complex range profile. The SAR system comprising a memory, a recurrent neural network (RNN), a multi-layer linear network in signal communication the RNN, and a machine-readable medium on the memory. The machine-readable medium is configured to store instructions that, when executed by the RNN, cause the SAR system to perform various operations. The various operation comprise: receiving raw SAR data associated with observed views of a scene, wherein the raw SAR data comprises information captured via the SAR system; radio frequency (RF) preprocessing the received raw SAR data to produce a processed raw SAR data; converting the processed raw SAR data to a complex SAR range profile data; processing the complex SAR range profile data with the RNN having RNN states; and mapping the RNN states to a target class with the multi-layer linear network.

公开(公告)号：US12216198B2

公开(公告)日：2025-02-04

申请号：US17456345

申请日：2021-11-23

Applicant: The Boeing Company

Inventor： Qin Jiang ,  David Wayne Payton ,  Soheil Kolouri ,  Adour Vahe Kabakian ,  Brian N. Limketkai

IPC: G01S13/90

Abstract: Disclosed is a synthetic aperture radar (SAR) system for target recognition with complex range profile. The SAR system comprising a memory, a recurrent neural network (RNN), a multi-layer linear network in signal communication the RNN, and a machine-readable medium on the memory. The machine-readable medium is configured to store instructions that, when executed by the RNN, cause the SAR system to perform various operations. The various operation comprise: receiving raw SAR data associated with observed views of a scene, wherein the raw SAR data comprises information captured via the SAR system; radio frequency (RF) preprocessing the received raw SAR data to produce a processed raw SAR data; converting the processed raw SAR data to a complex SAR range profile data; processing the complex SAR range profile data with the RNN having RNN states; and mapping the RNN states to a target class with the multi-layer linear network.

公开(公告)号：US20210109210A1

公开(公告)日：2021-04-15

申请号：US16601554

申请日：2019-10-14

Applicant: The Boeing Company

Inventor： Adour V. Kabakian ,  Soheil Kolouri ,  Brian N. Limketkai ,  Shankar R. Rao

IPC: G01S13/90

Abstract: Described is a stripmap SAR system on a vehicle comprising an antenna that is fixed and directed outward from the side of the vehicle, a SAR sensor, a storage, and a computing device. The computing device comprises a memory, one or more processing units, and a machine-readable medium on the memory. The machine-readable medium stores instructions that, when executed by the one or more processing units, cause the stripmap SAR system to perform various operations. The operations comprise: receiving stripmap range profile data associated with observed views of a scene; transforming the received stripmap range profile data into partial circular range profile data; comparing the partial circular range profile data to a template range profile data of the scene; and estimating registration parameters associated with the partial circular range profile data relative to the template range profile data to determine a deviation from the template range profile data.

公开(公告)号：US12259466B2

公开(公告)日：2025-03-25

申请号：US17643156

申请日：2021-12-07

Applicant: The Boeing Company

Inventor： Adour Vahe Kabakian ,  David Wayne Payton ,  Brian N. Limketkai ,  Soheil Kolouri ,  Qin Jiang

IPC: G01S13/90

Abstract: Described is a method for extraction of a region of interest (ROI) from a composite synthetic aperture radar (SAR) phase history data. The method comprising receiving, with a system comprising a processor, the composite SAR phase history data of a plurality of backscattered return signals produced by a SAR system illuminating a scene with a SAR beam. The method also comprises obtaining a location of a first ROI within the scene and extracting from the composite SAR phase history data a first component SAR phase history data corresponding to the ROI at the location of the ROI.

公开(公告)号：US11333753B2

公开(公告)日：2022-05-17

申请号：US16601554

申请日：2019-10-14

Applicant: The Boeing Company

Inventor： Adour V. Kabakian ,  Soheil Kolouri ,  Brian N. Limketkai ,  Shankar R. Rao

IPC: G01S13/90

Abstract: Described is a stripmap SAR system on a vehicle comprising an antenna that is fixed and directed outward from the side of the vehicle, a SAR sensor, a storage, and a computing device. The computing device comprises a memory, one or more processing units, and a machine-readable medium on the memory. The machine-readable medium stores instructions that, when executed by the one or more processing units, cause the stripmap SAR system to perform various operations. The operations comprise: receiving stripmap range profile data associated with observed views of a scene; transforming the received stripmap range profile data into partial circular range profile data; comparing the partial circular range profile data to a template range profile data of the scene; and estimating registration parameters associated with the partial circular range profile data relative to the template range profile data to determine a deviation from the template range profile data.

公开(公告)号：US20220221578A1

公开(公告)日：2022-07-14

申请号：US17643156

申请日：2021-12-07

Applicant: The Boeing Company

Inventor： Adour Vahe Kabakian ,  David Wayne Payton ,  Brian N. Limketkai ,  Soheil Kolouri ,  Qin Jiang

IPC: G01S13/90

Abstract: Described is a method for extraction of a region of interest (ROI) from a composite synthetic aperture radar (SAR) phase history data. The method comprising receiving, with a system comprising a processor, the composite SAR phase history data of a plurality of backscattered return signals produced by a SAR system illuminating a scene with a SAR beam. The method also comprises obtaining a location of a first ROI within the scene and extracting from the composite SAR phase history data a first component SAR phase history data corresponding to the ROI at the location of the ROI.

公开(公告)号：US20210270959A1

公开(公告)日：2021-09-02

申请号：US16804978

申请日：2020-02-28

Applicant: THE BOEING COMPANY

Inventor： Qin Jiang ,  David Payton ,  Adour Vahe Kabakian ,  Joshua Haug ,  Brian N. Limketkai

IPC: G01S13/90 ,  G01S13/933

Abstract: A method of identifying a target from synthetic aperture radar (SAR) data without incurring the computational load associated with generating an SAR image. The method includes receiving SAR data collected by a radar system including RF phase history data associated with reflected RF pulses from a target in a scene, but excluding an SAR image. Range profile data is determined from the SAR data by converting the RF phase history data into a structured temporal array that can be applied as input to a classifier incorporating a recurrent neural network, such as a recurrent neural network made up of long short-term memory (LSTM) cells that are configured to recognize temporal or spatial characteristics associated with a target, and provide an identification of a target based on the recognized temporal or spatial characteristic.