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Generation of Land-Clutter Maps for Cognitive Radar Technology

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Trends and Advances in Information Systems and Technologies (WorldCIST'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 746))

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Abstract

The concept of cognitive radar is based on an intelligent signal processing obtained by the interaction of the radar with the surrounding environment in order to optimize the radar operation. In the frame of the vast literature on measurement and modelling of the echoes from the environment such as land, vegetation, man-made infrastructures (called land clutter or fixed clutter in the radar jargon), this paper is aimed to contribute with a practical methodology based on a moveable, lightweight, small and cheap marine radar and its calibration. Live results, related to Radar Cross Section measurements in a typical suburban area, are also shown and analysed. Buildings, streets, highways, car parking areas with different coatings, large and medium size lampposts, soil with grass, trees, all in a radius of a very few kilometres, makes this area interesting as far as land clutter characterization is concerned.

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Authors and Affiliations

  1. Tor Vergata University of Rome, Via Del Politecnico, 1, 00133, Rome, Italy

    Gaspare Galati & Gabriele Pavan

Authors
  1. Gaspare Galati
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  2. Gabriele Pavan
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Corresponding author

Correspondence to Gabriele Pavan .

Editor information

Editors and Affiliations

  1. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

  3. DSI/EEUM, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

  4. DIMES, Universita della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

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Galati, G., Pavan, G. (2018). Generation of Land-Clutter Maps for Cognitive Radar Technology. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 746. Springer, Cham. https://doi.org/10.1007/978-3-319-77712-2_141

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  • DOI: https://doi.org/10.1007/978-3-319-77712-2_141

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77711-5

  • Online ISBN: 978-3-319-77712-2

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