会议信息
RadarConf 2020: IEEE Radar Conference
https://www.radarconf20.org/
截稿日期:
2020-04-27 Extended
通知日期:
2020-07-10
会议日期:
2020-09-21
会议地点:
Florence, Italy
届数:
4
浏览: 22189   关注: 8   参加: 7

征稿
Significant hardware advances combined with the availability of more and more sophisticated processing architectures, waveforms, and algorithms are pushing the development of innovative radars capable of satisfying the recent operational requirements in both civilian and defense domains. The international community will gather in Florence on September 21-25, 2020 to discuss and share the most recent findings in the many fields of application of radar techniques. Please, join us in this amazing city where Renaissance paved the way to the birth of modern science and to a new consideration of the role of mankind altogether. The IEEE Radar Conference is the World’s most comprehensive technical conference focused on radar techniques and applications. The 2020 edition of this conference will feature World-class speakers, tutorials, exhibits, and demo sessions.

Topics include, but are not limited to:

    Antenna Technology
    Radar Subsystems and Components
    Radar Phenomenology and Scattering
    Radar Systems
    Space-Based Radar Systems and Missions
    Space-Based/Airborne Radar Remote Sensing Applications
    Ground-Based Remote Sensing Applications
    Civilian Radar Applications

    Radar and Multisensor Tracking
    High-Resolution Radar Imaging and Classification
    Cognitive Sensing and Learning Methods
    Waveform Diversity and Design
    Multistatic and Passive Radar
    Radar Detection Theory
    ECCM and Interference Cancellation
    Radar and Sonar Signal/Data Processing
最后更新 Dou Sun 在 2020-04-25
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全称影响因子出版商
International Journal of Speech TechnologySpringer
TripleCUnified Theory of Information Research Group
Queueing Systems0.700Springer
International Journal of Network Security & Its Applications AIRCC
The Review of Socionetwork Strategies1.000Springer
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Computer Physics Communications7.200Elsevier
ElectricityMDPI
Statistical MethodologyElsevier
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