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1دورية أكاديمية
المؤلفون: Berestesky, P., Attia, E.H.
المصدر: IEEE Transactions on Aerospace and Electronic Systems IEEE Trans. Aerosp. Electron. Syst. Aerospace and Electronic Systems, IEEE Transactions on. 55(5):2426-2435 Oct, 2019
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2دورية أكاديمية
المؤلفون: Krich, S.I., Montanari, M., Amendolare, V., Berestesky, P.
المصدر: IEEE Transactions on Aerospace and Electronic Systems IEEE Trans. Aerosp. Electron. Syst. Aerospace and Electronic Systems, IEEE Transactions on. 53(2):805-815 Apr, 2017
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3دورية أكاديمية
المؤلفون: Shuncheng Tan, Guohong Wang, Dianxing Sun, Hongbo Yu
المصدر: The Journal of Engineering (2019)
مصطلحات موضوعية: particle filtering (numerical methods), noise, radar detection, doppler radar, target tracking, radar tracking, object detection, range ambiguous radar, low signal-to-noise ratio environment, novel weak target detection, tracking algorithm, multiple model particle filter, over-complete atom dictionary, echo model, target echo signal, cs method, threshold detection, atom energy distribution, judge, ambiguous measurement-based mmpf manoeuvring target tracking method, range measurement ambiguity, range ambiguity resolving, Engineering (General). Civil engineering (General), TA1-2040
وصف الملف: electronic resource
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4
المؤلفون: Yu Hongbo, Sun Dianxing, Tan Shuncheng, Wang Guohong
المصدر: The Journal of Engineering (2019)
مصطلحات موضوعية: noise, Computer science, atom energy distribution, doppler radar, Doppler radar, threshold detection, range measurement ambiguity, Energy Engineering and Power Technology, 02 engineering and technology, over-complete atom dictionary, Tracking (particle physics), 01 natural sciences, tracking algorithm, law.invention, 0203 mechanical engineering, law, judge, 0103 physical sciences, radar detection, Computer vision, Radar, 010301 acoustics, range ambiguous radar, radar tracking, novel weak target detection, 020301 aerospace & aeronautics, Radar tracker, business.industry, range ambiguity resolving, General Engineering, multiple model particle filter, object detection, Sparse approximation, target echo signal, Object detection, ambiguous measurement-based mmpf manoeuvring target tracking method, Compressed sensing, lcsh:TA1-2040, cs method, low signal-to-noise ratio environment, particle filtering (numerical methods), Artificial intelligence, business, Particle filter, target tracking, lcsh:Engineering (General). Civil engineering (General), Software, echo model
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb2c6859e2937138beafb2962531e9aa
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0668