会議情報
RadarConf 2020: IEEE Radar Conference
https://www.radarconf20.org/
提出日:
2020-04-27 Extended
通知日:
2020-07-10
会議日:
2020-09-21
場所:
Florence, Italy
年:
4
閲覧: 26021   追跡: 8   出席: 7

論文募集
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
最終更新 Dou Sun 2020-04-25
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関連仕訳帳
CCF完全な名前インパクト ・ ファクター出版社ISSN
StandardsMDPI2305-6703
IEEE Transactions on Radar SystemsIEEE2832-7357
Nano Today10.9Elsevier1748-0132
IET Radar, Sonar & Navigation1.400IET1751-8784
Diamond and Related Materials4.300Elsevier0925-9635
Nanomaterials4.400MDPI2079-4991
Calphad1.900Elsevier0364-5916
IETE Journal of Research1.300Taylor & Francis0377-2063
Robot LearningELSP2960-1436
cIEEE Transactions on Big Data5.7IEEE2332-7790
完全な名前インパクト ・ ファクター出版社
StandardsMDPI
IEEE Transactions on Radar SystemsIEEE
Nano Today10.9Elsevier
IET Radar, Sonar & Navigation1.400IET
Diamond and Related Materials4.300Elsevier
Nanomaterials4.400MDPI
Calphad1.900Elsevier
IETE Journal of Research1.300Taylor & Francis
Robot LearningELSP
IEEE Transactions on Big Data5.7IEEE