Invention Publication
- Patent Title: NOISE SUPPRESSION METHOD AND SYSTEM FOR INVERSE SYNTHETIC APERTURE RADAR MICRO-CLUSTER OBJECTS USING GENERATIVE ADVERSARIAL NETWORK
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Application No.: US17989162Application Date: 2022-11-17
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Publication No.: US20230152444A1Publication Date: 2023-05-18
- Inventor: Haitao Lyu , Jiang Qian , Junzheng Jiang , Minfeng Xing
- Applicant: Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Applicant Address: CN Huzhou
- Assignee: Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Current Assignee: Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China
- Current Assignee Address: CN Huzhou
- Priority: CN 21113691845 2021.11.18
- Main IPC: G01S13/90
- IPC: G01S13/90 ; G01S7/41

Abstract:
A noise suppression method and system for Inverse Synthetic Aperture Radar micro-cluster objects using a generative adversarial network (GAN) are provided. The method includes: constructing the GAN, including a generator and a discriminator; obtaining and inputting noisy simulation data into the generator to obtain a first output, comparing the first output with noiseless simulation data to obtain a first generator loss, inputting the first output and the distribution function into the discriminator for denoising discrimination to obtain a first discriminant result, and determining a second generator loss according to the first generator loss and the first discriminate result; and obtaining measured data and inputting the measured data into the generator to obtain a second output, inputting the second output to the discriminator to obtain a second discriminant result, and determining a generator loss according to the second generator and the second discriminate result.
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