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：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：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：US20240329235A1

公开(公告)日：2024-10-03

申请号：US18295109

申请日：2023-04-03

Applicant: The Boeing Company

Inventor： Adour Vahe Kabakian ,  David Wayne Payton ,  Kangyu Ni ,  Yuri Owechko

IPC: G01S13/90

CPC classification number: G01S13/9027 ,  G01S13/9054

Abstract: A method for synthetic aperture radar (SAR) phase history extraction includes receiving, at a SAR system, a set of SAR phase history data derived from a plurality of return signals, the plurality of return signals produced by the SAR system illuminating a scene with a plurality of radar pulses. A region of interest (ROI) is obtained, the ROI corresponding to a moving target within the scene. A doppler shift frequency range for the moving target is determined based at least in part on an azimuth angle spread corresponding to the ROI and a known approximate trajectory of the moving target. The SAR phase history data is filtered to give extracted phase history corresponding to the moving target based at least in part on the doppler shift frequency range.

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：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.