Case study on low probability of recognition (LPR) radar using GSM [PDF]
, 2022 S.1058-1063A practical investigation of the application of low probability of recognition (LPR) to Global System for Mobile Communications (GSM) systems within radar waveform design is provided.
Felber, Wolfgang +4 more
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Waveform Recognition in Pulse Compression Radar Systems [PDF]
2005 IEEE Workshop on Machine Learning for Signal Processing, 2006 In this paper a system for recognizing pulse compression radar waveforms is introduced. The waveforms considered in this study are the linear frequency modulation (LFM), Costas codes, binary phase codes, and the Frank, P1, P2, P3, and P4 codes. A feature vector based on instantaneous signal properties, second- and higher-order statistics, and time ...
J. Lunden, L. Terho, V. Koivunen
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Biomimetic echolocation with application to radar and sonar sensing [PDF]
, 2014 Nature provides a number of examples where acoustic echolocation is the primary sensing modality, the most well-known of these being the bat, whale and dolphin. All demonstrate a remarkable ability to "see with sound".
Griffiths, Hugh +7 more
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Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
doaj +1 more source
Waveform Recognition in Multipath Fading Using Autoencoder and CNN with Fourier Synchrosqueezing Transform [PDF]
, 2020 In this paper the problem of recognizing radar waveforms is addressed for multipath fading channels. Waveform classification is needed in spectrum sharing, radar-communications coexistence, cognitive radars, spectrum monitoring and signal intelligence ...
Jung, Minchae +5 more
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Aircraft recognition by spectral analysis of the radar video waveform [PDF]
, 2021 Aircraft recognition by spectral analysis of the radar video ...
A.A. Al Mosawi (11125497)
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Remote Sensing, 2021 In the bistatic synthetic aperture radar (BiSAR) system, the deviation between two oscillators in different platforms will cause an additional modulation of BiSAR echoes.
Da Liang +4 more
doaj +1 more source
Waveform Classification in Radar-Communications Coexistence Scenarios [PDF]
, 2020 In this paper the problem of recognizing waveform and modulation is addressed in radar-communications coexistence and shared spectrum scenarios. We propose a deep learning method for waveform classification.
Jung, Minchae +5 more
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LPI Radar Waveform Recognition Based on Deep Convolutional Neural Network Transfer Learning [PDF]
, 2019 Low Probability of Intercept (LPI) radar waveform recognition is not only an important branch of the electronic reconnaissance field, but also an important means to obtain non-cooperative radar information.
Guoqing Ruan, Xin Yu, Qiang Guo
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Online Learning-Based Waveform Selection for Improved Vehicle Recognition in Automotive Radar
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023 This paper describes important considerations and challenges associated with online reinforcement-learning based waveform selection for target identification in frequency modulated continuous wave (FMCW) automotive radar systems. We present a novel learning approach based on satisficing Thompson sampling, which quickly identifies a waveform expected to
Charles E. Thornton +2 more
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