Letteratura scientifica selezionata sul tema "RADAR recognition process"
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Articoli di riviste sul tema "RADAR recognition process"
Dudczyk, Janusz, e Łukasz Rybak. "Application of Data Particle Geometrical Divide Algorithms in the Process of Radar Signal Recognition". Sensors 23, n. 19 (30 settembre 2023): 8183. http://dx.doi.org/10.3390/s23198183.
Testo completoXing, Huaixi, Qinghua Xing e Kun Wang. "Radar Anti-Jamming Countermeasures Intelligent Decision-Making: A Partially Observable Markov Decision Process Approach". Aerospace 10, n. 3 (27 febbraio 2023): 236. http://dx.doi.org/10.3390/aerospace10030236.
Testo completoSun, Jingming, Qiang Zhang, Jingbei Yang e Yuhao Yang. "Automatic Sample Labeling Method for Radar Target Recognition". Journal of Physics: Conference Series 2356, n. 1 (1 ottobre 2022): 012029. http://dx.doi.org/10.1088/1742-6596/2356/1/012029.
Testo completoBartsch, A., F. Fitzek e R. H. Rasshofer. "Pedestrian recognition using automotive radar sensors". Advances in Radio Science 10 (18 settembre 2012): 45–55. http://dx.doi.org/10.5194/ars-10-45-2012.
Testo completoVinogradova, N. S., e L. G. Dorosinsky. "Recognition of radar images generated by synthetic aperture radar systems". Ural Radio Engineering Journal 5, n. 3 (2021): 258–71. http://dx.doi.org/10.15826/urej.2021.5.3.004.
Testo completoLee, Gawon, e Jihie Kim. "Improving Human Activity Recognition for Sparse Radar Point Clouds: A Graph Neural Network Model with Pre-Trained 3D Human-Joint Coordinates". Applied Sciences 12, n. 4 (18 febbraio 2022): 2168. http://dx.doi.org/10.3390/app12042168.
Testo completoDong, Xiaoxuan, e Siyi Cheng. "Radar Working Modes Recognition Based on Discrete Process Neural Network". IOP Conference Series: Materials Science and Engineering 394 (8 agosto 2018): 042088. http://dx.doi.org/10.1088/1757-899x/394/4/042088.
Testo completoYang, Rui, Yingbo Zhao e Yuan Shi. "RPREC: A Radar Plot Recognition Algorithm Based on Adaptive Evidence Classification". Applied Sciences 13, n. 22 (20 novembre 2023): 12511. http://dx.doi.org/10.3390/app132212511.
Testo completoFeng, Xiang, Zhengliang Shan, Zhanfeng Zhao, Zirui Xu, Tianpeng Zhang, Zihe Zhou, Bo Deng e Zirui Guan. "Millimeter-Wave Radar Monitoring for Elder’s Fall Based on Multi-View Parameter Fusion Estimation and Recognition". Remote Sensing 15, n. 8 (16 aprile 2023): 2101. http://dx.doi.org/10.3390/rs15082101.
Testo completoZhyrnov, V., e S. Solonska. "Intelligent model of radar object images for surveillance radars". Radiotekhnika, n. 212 (28 marzo 2023): 148–54. http://dx.doi.org/10.30837/rt.2023.1.212.14.
Testo completoTesi sul tema "RADAR recognition process"
Mottier, Manon. "Optimal Transport : an application to the RADAR Recognition Process for deinterleaving RADAR pulses and identifying emitter". Electronic Thesis or Diss., université Paris-Saclay, 2024. https://theses.hal.science/tel-04653381.
Testo completoMilitary intelligence is essential to a country's security and defense, particularly signals intelligence (ROEM). The emergence of passive systems has given a considerable advantage to those capable of controlling them by allowing discreet surveillance at a lower cost. However, the interception and processing of signals by a passive RADAR require establishing a dedicated algorithmic processing chain capable of understanding the diversity of electromagnetic spectra and the underlying physical phenomena. Over the years, the issues have become more complex and diversified, mainly because of numerous technological innovations that have led to the complexity and sophistication of electronic equipment; RADARs have more similar electromagnetic spectra, making their differentiation complex. This work proposes a RADAR Recognition Process first to deinterleave a signal and then to identify the RADARs. First, two new unsupervised deinterleaving approaches are proposed based on a combination of clustering algorithms integrating optimal transport distances to separate the pulses into several clusters before grouping the clusters belonging to the same RADAR. Finally, when the deinterleaving phase is completed, the RADARs are identified by developing an optimal transport distance between a reference database and the sets of previously deinterleaved pulses while modeling the phenomenon of missing pulses
Menon, K. Rajalakshmi. "Application Of High Frequency Natural Resonances Extracted From Electromagnetic Scattering Response For Discrimination Of Radar Targets With Minor Variations". Thesis, Indian Institute of Science, 2001. https://etd.iisc.ac.in/handle/2005/159.
Testo completoMenon, K. Rajalakshmi. "Application Of High Frequency Natural Resonances Extracted From Electromagnetic Scattering Response For Discrimination Of Radar Targets With Minor Variations". Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/159.
Testo completoCapitoli di libri sul tema "RADAR recognition process"
Mahmoudi, Elham, Jan Düllmann, Lukas Heußner, Raoul Hölter, Andre Lamert, Shorash Miro, Thomas Möller et al. "Advance Reconnaissance and Optimal Monitoring". In Interaction Modeling in Mechanized Tunneling, 9–91. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24066-9_2.
Testo completoEstrada, Jheanel, Gil Opina Jr e Anshuman Tripathi. "Object and Traffic Light Recognition Model Development Using Multi-GPU Architecture for Autonomous Bus". In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210286.
Testo completoPeralta, Dan-el Padilla. "Pilgrimage to Mid-Republican Rome". In Divine Institutions, 178–229. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691168678.003.0005.
Testo completoZhang, Suyu, Wenlong Zhao, Liang Guo, Ruijun Liu e Jun Liu. "Autonomous Driving System for Mining UGVs". In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231117.
Testo completoAtti di convegni sul tema "RADAR recognition process"
Dankert, Heiko, Jochen Horstmann e Wolfgang Rosenthal. "Detection of Extreme Waves in SAR Images and Radar-Image Sequences". In ASME 2002 21st International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2002. http://dx.doi.org/10.1115/omae2002-28160.
Testo completoMattei, F. "Enhanced radar detection of small remotely piloted aircraft in U-space scenario". In Aerospace Science and Engineering. Materials Research Forum LLC, 2023. http://dx.doi.org/10.21741/9781644902677-3.
Testo completoJinzhu Wang, Jinzhu Wang, Jie Bai Jie Bai, Libo Huang Libo Huang e Huanlei Chen Huanlei Chen. "Autonomous Driving Decision-making Based on the Combination of Deep Reinforcement Learning and Rule-based Controller". In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-108.
Testo completoKhadr, N., D. O. Pederson, G. J. Salamo e B. A. Weber. "Symmetry perception by optical transformation". In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/oam.1987.mm5.
Testo completoKonopko, Mariola, e Małgorzata Ewa Wysocka. "GPR Method as a Non-Invasive Method for Investigating Organic Soils Deposited under Designed Road Construction". In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.140.
Testo completoBacsardi, Laszlo, e Laszlo Csurgai Horvath. "Establishment of the Space Engineering Program in Hungary". In Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.068.
Testo completoLi, Yixiao, Yutaka Matsubara, Daniel Olbrys, Kazuhiro Kajio, Takashi Inada e Hiroaki Takada. "Agile Software Design Verification and Validation (V&V) for Automated Driving". In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-ves-017.
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