Deep forest for radar HRRP recognition [PDF]
The Journal of Engineering, 2019 High-resolution range profile (HRRP) has received intensive attention in the radar automatic target recognition filed. Here, deep forest is applied to the recognition of HRRP.
Yanhua Wang +5 more
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Dual-band polarimetric HRRP recognition via a brain-inspired multi-channel fusion feature extraction network [PDF]
Frontiers in Neuroscience, 2023 Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang +16 more
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A Deep Learning-Based Satellite Target Recognition Method Using Radar Data [PDF]
Sensors, 2019 A novel satellite target recognition method based on radar data partition and deep learning techniques is proposed in this paper. For the radar satellite recognition task, orbital altitude is introduced as a distinct and accessible feature to divide ...
Wang Lu +4 more
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Convolutional neural networks for radar HRRP target recognition and rejection [PDF]
EURASIP Journal on Advances in Signal Processing, 2019 Robust and efficient feature extraction is critical for high-resolution range profile (HRRP)-based radar automatic target recognition (RATR). In order to explore the correlation between range cells and extract the structured discriminative features in ...
Jinwei Wan +4 more
doaj +2 more sources
Radar HRRP recognition based on CNN [PDF]
The Journal of Engineering, 2019 In this study, ground target recognition based on one-dimensional convolutional neural network (CNN) is studied by exploiting the targets’ high-resolution range profiles (HRRPs). Contrary to conventional methods which need feature extraction artificially,
Jia Song +4 more
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Dynamic Gesture Recognition with a Terahertz Radar Based on Range Profile Sequences and Doppler Signatures [PDF]
Sensors, 2017 The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
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Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
IEEE Access, 2019 Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
doaj +3 more sources
Anti-Chaff Jamming Method of Radar Based on Real Dataset and Residual Attention Model [PDF]
SensorsAs a typical and widely used passive jamming method, chaff clouds have a strong interference effect on radar that remains a significant challenge effectively to counteract.
Shuolei Li +3 more
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Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition
EURASIP Journal on Advances in Signal Processing, 2008 In this paper the manifold geometry in radar high-resolution range profile (HRRP) is firstly explored, and then, according to the characteristics of target pose sensitivity, a method of adaptively segmenting the aspect sectors is proposed for HRRP ...
Zheng Bao, Li Yuan, Hongwei Liu, Bo Chen
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Intelligent radar HRRP target recognition based on CNN-BERT model
EURASIP Journal on Advances in Signal Processing, 2022 Stable and reliable feature extraction is crucial for radar high-resolution range profile (HRRP) target recognition. Owing to the complex structure of HRRP data, existing feature extraction methods fail to achieve satisfactory performance.
Penghui Wang +4 more
doaj +2 more sources