Results 21 to 30 of about 8,956 (287)
Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
, 2013 Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
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IEEE Access, 2021 In the modern electronic warfare signal environment, multiple radar signals of high density are mixed and received, and separating them into signals for each emitter is an essential step for emitter identification. Each radar has its own pulse repetition
Jin-Woo Han, Cheong Hee Park
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Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]
, 2015 Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Griffiths, Hugh +8 more
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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 ...
Marcio Perassoli +5 more
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Time-frequency image and high-order spectrum characteristics based radar signal recognition
Dianxin kexue, 2022 Aiming at improving the accuracy of radar signal recognition under a low signal-to-noise ratio, a radar signal recognition algorithm based both on time-frequency image and high-order spectrum feature was proposed.Firstly, the time-frequency image was ...
Shitong LI +5 more
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Compressed sensing of monostatic and multistatic SAR [PDF]
, 2013 In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat +5 more
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Working Mode Recognition of Non-Specific Radar Based on ResNet-SVM Learning Framework
, 2023 Mode recognition is a basic task to interpret the behavior of multi-functional radar. The existing methods need to train complex and huge neural networks to improve the recognition ability, and it is difficult to deal with the mismatch between the ...
Jifei Pan, Yihong Zhuo, Jingwei Xiong
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Low complexity radar signal classification based on spectrum shape
Dianxin kexue, 2022 In order to solve the problems of high computational complexity, low recognition accuracy of low signal to noise ratio (SNR) environment and low fidelity of simulation data in radar signal modulation recognition, a low complexity radar signal ...
Liang YIN +5 more
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Electronics Letters, 2022 As the electromagnetic environment becomes increasingly complex, the radar receivers may receive multiple radar signals simultaneously. However, the current radar signal recognition algorithm based on deep learning can only predict a single class.
Weijian Si, Jiaji Luo, Zhian Deng
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Radar Signal Recognition Based on Dual Channel Convolutional Neural Network
Shanghai Jiaotong Daxue xuebao, 2022 In order to solve the problems of difficult feature extraction and low recognition rate of radar signal at low signal-to-noise ratios, a dual channel convolutional neural network model based on Choi-Williams distribution (CWD) and multisynchrosqueezing ...
QUAN Daying, CHEN Yun, TANG Zeyu, LI Shitong, WANG Xiaofeng, JIN Xiaoping
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