Results 41 to 50 of about 95,121 (145)
Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
International Journal of Antennas and Propagation, 2021 Using traditional neural network algorithms to adapt to high-resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. Under the premise of in-depth analysis of the long short-term memory (LSTM)
Jizhou Wu, Hongmin Zhang, Xuanhao Gao
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Baseband version of the bat-inspired spectrogram correlation and transformation receiver [PDF]
, 2016 Echolocating bats have evolved an excellent ability to detect and discriminate targets in highly challenging environments. They have had more than 50 million years of evolution to optimise their echolocation system with respect to their surrounding ...
Balleri, Alessio +3 more
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Kernel Uncorrelated Discriminant Analysis for Radar Target Recognition [PDF]
, 2006 Kernel fisher discriminant analysis (KFDA) has received extensive study in recent years as a dimensionality reduction technique. KFDA always encounters an intrinsic singularity of scatter matrices in the feature space, namely ‘small sample size' (SSS) problem. Several novel methods have been proposed to cope with this problem.
Ling Wang 0003, Liefeng Bo, Licheng Jiao
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Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
, 2014 The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Balleri, Alessio +2 more
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Buffered Reset Leads to Improved Compression in Fuzzy ARTMAP Classification of Radar Range Profiles [PDF]
, 1996 Fuzzy ARTMAP has to date been applied to a variety of automatic target recognition tasks, including radar range profile classification. In simulations of this task, it has demonstrated significant compression compared to k-nearest-neighbor classifiers ...
Grossberg, Stephen +2 more
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Research on radar clutter recognition method based on LSTM
The Journal of Engineering, 2019 Considering the increasingly complex electromagnetic environment of radar detection, it still contains a lot of clutter after target detection, which is a challenging problem for subsequent target tracking.
Li Song, Wang Shengli, Xie Dingbao
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Sparse representation-based synthetic aperture radar imaging [PDF]
, 2011 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 ...
Cetin, Mujdat +3 more
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Non‐cooperative target recognition in multistatic radar systems
IET Radar, Sonar & Navigation, 2014 The ability to recognise quickly and reliably non‐cooperative targets is a primary issue in modern radar systems. The use of multistatic radars has already been demonstrated to improve sensibly the recognition capacity of a radar system, through the exploitation of its inherent spatial diversity, given by the presence of multiple observation channels ...
STINCO, PIETRO +3 more
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Leida xuebaoIn recent years, target recognition systems based on radar sensor networks have been widely studied in the field of automatic target recognition. These systems observe the target from multiple angles to achieve robust recognition, which also brings the ...
Hao WAN, Jing LIANG
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Leida xuebao, 2015 Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the ...
Xiang Yin, Zhang Kai, Hu Cheng
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