Results 161 to 170 of about 1,336 (197)
Automatic Recognition of General LPI Radar Waveform Using SSD and Supplementary Classifier
IEEE Transactions on Signal Processing, 2019 For low probability of intercept (LPI) radars, frequency-modulated and phase-modulated continuous waveforms are widely used because of their low peak power compared to that of pulse waves (PW). However, there has been a limited number of studies on recognizing continuous wave (CW) LPI radar, in spite of its importance and popularity.
Linh Manh Hoang +2 more
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Automatic Radar Waveform Recognition
IEEE Journal on Selected Topics in Signal Processing, 2007In this paper, a system for automatically recognizing radar waveforms is introduced. This type of techniques are needed in various spectrum management, surveillance and cognitive radio or radar applications. The intercepted radar signal is classified to eight classes based on the pulse compression waveform: linear frequency modulation (LFM), discrete ...
Visa Koivunen, Jarmo Lunden
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Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network
IEEE Wireless Communications Letters, 2021Automotive radars, with a widespread emergence in the last decade, have faced various jamming attacks. Utilizing low probability of intercept (LPI) radar waveforms, as one of the essential solutions, demands an accurate waveform recognizer at the intercept receiver.
Thien Huynh-The +2 more
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Transferred deep learning based waveform recognition for cognitive passive radar
Signal Processing, 2019Abstract Passive radar capable of recognizing illumination of opportunities can improve the detection performance on account of its functional properties of environment adaptivity. Waveform recognition approaches based on Deep Learning can outperform traditional methods based on hand-crafted feature as shown in recent studies.
Panfei Du, Jingyu Yang, Guohua Wang
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Automatic target recognition using waveform diversity in radar sensor networks
Pattern Recognition Letters, 2008In this paper, we perform a number of theoretical studies on constant frequency (CF) pulse waveform design and diversity in radar sensor networks (RSN): (1) the conditions for waveform co-existence, (2) interferences among waveforms in RSN, (3) waveform diversity combining in RSN. As an application example, we apply the waveform design and diversity to
Qilian Liang
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Analysis of Human Echolocation Waveform for Radar Target Recognition
, 2013 Some blind humans have developed the remarkable capability of echolocation, similar to the type used by mammals such as the bat, dolphin and whale. This population of human has shown the ability to classify targets based on their location, size, shape and material in diverse environmental conditions simply by listening to the reflected echoes of tongue
Patel, Kandarp
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An Improved LPI Radar Waveform Recognition Framework With LDC-Unet and SSR-Loss
IEEE Signal Processing Letters, 2022Wangkui Jiang, Mengmeng Liao
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Efficient TFI-Based Depth-Tunable LPI Radar Waveform Recognition Network
IEEE Signal Processing Letters, 2023Xiti Wang, Zhiyong Luo
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Accurate Deep CNN-Based Waveform Recognition for Intelligent Radar Systems
IEEE Communications Letters, 2021Nowadays radar systems have been facing with the disordered electromagnetic spectrum access and utilization in shared spectrum environments with radio communication systems. Numerous waveform recognition methods have been studied with feature engineering and conventional machine learning (ML) for intelligent radar systems, but they are critically ...
Thien Huynh-The +4 more
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Automatic Radar Waveform Recognition Using SVM
Applied Mechanics and Materials, 2012In this paper, a new feature for radar waveform recognition based on the instantaneous frequency is proposed. It is especially utilized for discriminating phase coded signals from other signals. Maximum likelihood estimation (MLE), autocorrelation algorithm, and likelihood ratio test are exploited in the algorithm. In the classification system, support
Hao Gao, Xu Dong Zhang
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