Invention Application
- Patent Title: COMPLEX RECURRENT NEURAL NETWORK FOR SYNTHETIC APERTURE RADAR (SAR) TARGET RECOGNITION
-
Application No.: US17456345Application Date: 2021-11-23
-
Publication No.: US20220229173A1Publication Date: 2022-07-21
- Inventor: Qin Jiang , David Wayne Payton , Soheil Kolouri , Adour Vahe Kabakian , Brian N. Limketkai
- Applicant: The Boeing Company
- Applicant Address: US IL Chicago
- Assignee: The Boeing Company
- Current Assignee: The Boeing Company
- Current Assignee Address: US IL Chicago
- Main IPC: G01S13/90
- 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.
Public/Granted literature
- US12216198B2 Complex recurrent neural network for Synthetic Aperture Radar (SAR) target recognition Public/Granted day:2025-02-04
Information query