Micro‐Doppler effect removal in inverse synthetic aperture radar imaging based on UNet
نویسندگان
چکیده
The micro-Doppler (m-D) effect caused by the rotational parts of targets influences quality inverse synthetic aperture radar (ISAR) imaging. In this letter, a novel deep network-assisted method is proposed to reduce m-D in ISAR training data, including images with and without effect, help network establish non-linear mapping relationships. simulated measured data results show effectiveness method.
منابع مشابه
Inverse synthetic aperture radar imaging based on sparse signal processing
Based on the measurement model of inverse synthetic aperture radar (ISAR) within a small aspect sector, an imaging method was presented with the application of sparse signal processing. This method can form higher resolution inverse synthetic aperture radar images from compensating incomplete measured data, and improves the clarity of the images and makes the feature structure much more clear, ...
متن کاملInverse Synthetic Aperture Radar
1The school of ITEF, The University of Queensland, Brisbane 4072, Australia 2Department of Information Engineering, University of Pisa, Via G. Caruso 16, 56122 Pisa, Italy 3 School of Information Technology & Electrical Engineering, University of Queensland, Brisbane 4072, Australia 4Radar Modelling & Analysis Group, Electronic Warfare & Radar Division, Defence Science & Technology Organisation...
متن کاملAdvances in Bistatic Inverse Synthetic Aperture Radar (Invited Session on Advances in Inverse Synthetic Aperture Radar)
Bistatic geometries are enabled in scenarios where multiple separated transmitters and receivers are employed as well as when illuminators of opportunity are exploited. Bistatic Inverse Synthetic Aperture Radar (B-ISAR) becomes the radar imaging tool for obtaining non-cooperative target images in arbitrary bistatic configurations. Theoretical aspects and real data experiments have been conducte...
متن کاملLogarithmic Laplacian Prior Based Bayesian Inverse Synthetic Aperture Radar Imaging
This paper presents a novel Inverse Synthetic Aperture Radar Imaging (ISAR) algorithm based on a new sparse prior, known as the logarithmic Laplacian prior. The newly proposed logarithmic Laplacian prior has a narrower main lobe with higher tail values than the Laplacian prior, which helps to achieve performance improvement on sparse representation. The logarithmic Laplacian prior is used for I...
متن کاملSparse representation-based synthetic aperture radar imaging
There is increasing interest in using synthetic aperture radar (SAR) images in automated target recognition and decision-making tasks. The success of such tasks depends on how well the reconstructed SAR images exhibit certain features of the underlying scene. Based on the observation that typical underlying scenes usually exhibit sparsity in terms of such features, this paper presents an image ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics Letters
سال: 2023
ISSN: ['0013-5194', '1350-911X']
DOI: https://doi.org/10.1049/ell2.12814