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Inverse Problems, 2013 The article of record as published may be found at http://dx.doi.org/1088/0266-5611/29/5/050301 Because of their ability to operate without regard to day, night or weather conditions, radar systems are ubiquitous in remote sensing operations and are used in a wide variety of commercial and military applications.
Borden, Brett, Cheney, Margaret
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Radar Imaging with EISCAT 3D [PDF]
Annales Geophysicae, 2020 Abstract. A new incoherent scatter radar called EISCAT 3D is being constructed in Northern Scandinavia. It will have the capability of producing volumetric images of ionospheric plasma parameters using aperture synthesis radar imaging. This study uses the current design of EISCAT 3D to explore the theoretical radar imaging performance and compares ...
Johann Stamm +4 more
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Parameter Estimation for Interrupted Sampling Repeater Jamming Based on ADMM
Sensors, 2021 By repeatedly sampling, storing, and retransmitting parts of the radar signal, interrupted sampling repeater jamming (ISRJ) based on digital radio frequency memory (DRFM) can produce a train of secondary false targets symmetrical to the main false target,
Chaoyu Wang +4 more
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Scientific Reports, 2023 This paper proposes a functionally reconfigurable integrated structure of a Fabry–Perot (FP) antenna and wideband liquid absorber. First, a two-layer partial reflecting surface (PRS) has been designed.
Yukun Zou +4 more
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Frequency-Scaling-Based Spaceborne Squint SAR Sparse Imaging
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 In synthetic aperture radar (SAR), due to the characteristics of squint data in spaceborne imaging geometry, a more accurate range cell migration correction operation is necessary.
Yufan Song +4 more
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Target Recognition in SAR Images by Deep Learning with Training Data Augmentation
Sensors, 2023 Mass production of high-quality synthetic SAR training imagery is essential for boosting the performance of deep-learning (DL)-based SAR automatic target recognition (ATR) algorithms in an open-world environment.
Zhe Geng +5 more
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Hybrid Attention-Based Encoder–Decoder Fully Convolutional Network for PolSAR Image Classification
Remote Sensing, 2023 Recently, methods based on convolutional neural networks (CNNs) achieve superior performance in polarimetric synthetic aperture radar (PolSAR) image classification.
Zheng Fang +4 more
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Slow-Time Code Design for Space-Time Adaptive Processing in Airborne Radar
Entropy, 2021 Space-time adaptive processing (STAP) techniques have been motivated as a key enabling technology for advanced airborne radar applications. In this paper, a slow-time code design is considered for the STAP technique in airborne radar, and the principle ...
Shiyi Li +4 more
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IEEE Photonics Journal, 2020 Broadband image-reject mixing using a dual-channel polarization-modulated photonic microwave phase shifter is proposed and experimentally demonstrated.
Yamei Zhang +6 more
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Sensors, 2021 High-resolution synthetic aperture radar (SAR) images are mostly used in the current field of ship classification, but in practical applications, moderate-resolution SAR images that can offer wider swath are more suitable for maritime surveillance.
Gaoyu Zhou, Gong Zhang, Biao Xue
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