Results 11 to 20 of about 146,950 (268)
Remote Sensing, 2021 Traditional radar target detection algorithms are mostly based on statistical theory. They have weak generalization capabilities for complex sea clutter environments and diverse target characteristics, and their detection performance would be ...
Xiaolong Chen +5 more
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A Two-Stage Track-before-Detect Method for Non-Cooperative Bistatic Radar Based on Deep Learning
Remote Sensing, 2023 Compared with traditional active detection radar, non-cooperative bistatic radar has a series of advantages, such as a low cost and low detectability. However, in real-life scenarios, it is limited by the non-cooperation of the radiation source and the ...
Wei Xiong +3 more
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Remote Sensing, 2023 The Multiple Input Multiple Output (MIMO) radar, as a new type of radar, emits orthogonal waveforms, which provide it with waveform diversity characteristics, leading to increased degrees of freedom and improved target detection performance.
Jian Guan +5 more
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Experimental Study of Maritime Moving Target Detection Using Hitchhiking Bistatic Radar
Remote Sensing, 2022 Hitchhiking bistatic radar system takes the direct wave signal that is transmitted by the non-cooperative radar emitter as the reference to detect and analyze the target echo signal, so as to realize the positioning and tracking of the target. This radar
Jie Song +3 more
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Randomized RX for Target Detection [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 This work tackles the target detection problem through the well-known global RX method. The RX method models the clutter as a multivariate Gaussian distribution, and has been extended to nonlinear distributions using kernel methods. While the kernel RX can cope with complex clutters, it requires a considerable amount of computational resources as the ...
Fatih Nar +3 more
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Time-Range Adaptive Focusing Method Based on APC and Iterative Adaptive Radon-Fourier Transform
Remote Sensing, 2022 In conventional radar signal processing, the cascade of pulse compression (i.e., matched filter) and Radon-Fourier transform (RFT) can extract the estimated scattering coefficient of the target in the range-velocity dimension through long-time coherent ...
Jian Guan +4 more
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Learning to Detect an Oddball Target [PDF]
IEEE Transactions on Information Theory, 2018 24 pages, 4 figures. Submitted to IEEE Transactions on Information Theory.
Nidhin Koshy Vaidhiyan +1 more
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Multi-target detection with rotations
Inverse Problems and Imaging, 2023 20 pages, 5 ...
Tamir Bendory +4 more
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Remote Sensing, 2022 Aiming at the difficult problem of the classification between flying bird and rotary-wing drone by radar, a micro-motion feature classification method is proposed in this paper.
Xiaolong Chen +5 more
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Sensing capacity for target detection [PDF]
Manufacturing Engineer, 2005 We define a notion of ‘sensing capacity’ that characterizes the ability of a sensor network to successfully distinguish among a discrete set of targets. Sensing capacity is defined as the maximum ratio of target positions to sensors for which inference of targets within a certain distortion is achievable.
Yaron Rachlin +2 more
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