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Target recognition with high-fidelity target signatures and adaptive waveforms in MIMO radar
2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015In previous work, we have demonstrated the advantage of a closed-loop radar system that provides a feedback loop from radar receiver to transmitter in a widely separated multi-input multi-output (MIMO) radar scenario. The results for widely separated MIMO radar showed performance benefit when exploiting spatial diversity with adaptive waveforms ...
Junhyeong Bae, Nathan A. Goodman
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Adaptive single-tone waveform design for target recognition in cognitive radar
IET Conference Publications, 2009Cognitive radar is a recently proposed system concept, one of whose most important characteristics is the closed-loop operation. The feedback structure from the receiver to the transmitter enables the optimization of transmission waveforms based on the latest knowledge about targets and environments.
null Yimin Wei +2 more
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AUTOMATIC RADAR WAVEFORM RECOGNITION BASED ON NEURAL NETWORK
Mechatronic Systems and Control (formerly Control and Intelligent Systems), 2018Wenbin Liu, Qing Wang, Qi Guo
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Automatic LPI Radar Waveform Recognition Using Vision Transformer
2023 IEEE International Radar Conference (RADAR), 2023Junseob Kim +3 more
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Intelligent recognition of radar emitters with agile waveform based on deep reinforcement learning
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2022Yuntian Feng
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A Fast and Accurate Convolutional Neural Network for LPI Radar Waveform Recognition
2022 19th European Radar Conference (EuRAD), 2022Do-Hyun Park +3 more
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Transformer-based models for intrapulse modulation recognition of radar waveforms
Engineering Applications of Artificial IntelligenceSidra Ghayour Bhatti +3 more
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CMNet: Radar-Communication Waveform Recognition via Convolution and Mamba Networks
IEEE Wireless Communications LettersThien Huynh-The +3 more
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Recognition of LPI Radar Waveforms via RCMNet in Low SNR Scenarios
IEEE Signal Processing LettersAn Yan +5 more
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