Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2020Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies68citations

Places of action

Chart of shared publication
Viikari, Ville
1 / 6 shared
Haarla, Jaakko
1 / 1 shared
Slezak, Christopher
1 / 1 shared
Rangan, Sundeep
1 / 1 shared
Oestges, Claude
1 / 1 shared
Semkin, Vasilii
1 / 4 shared
Chart of publication period
2020

Co-Authors (by relevance)

  • Viikari, Ville
  • Haarla, Jaakko
  • Slezak, Christopher
  • Rangan, Sundeep
  • Oestges, Claude
  • Semkin, Vasilii
OrganizationsLocationPeople

article

Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies

  • Viikari, Ville
  • Haarla, Jaakko
  • Pairon, Thomas
  • Slezak, Christopher
  • Rangan, Sundeep
  • Oestges, Claude
  • Semkin, Vasilii
Abstract

<p>In this work, we present quasi-monostatic Radar Cross Section measurements of different Unmanned Aerial Vehicles at 26-40 GHz. We study the Radar Cross Section signatures of nine different multi-rotor platforms as well as a single Lithium-ion Polymer battery. These results are useful in the design and testing of radar systems which employ millimeter-wave frequencies for superior drone detection. The data shows how radio waves are scattered by drones of various sizes and what impact the primary construction material has on the received Radar Cross Section signatures. Matching our intuition, the measurements confirm that larger drones made of carbon fiber are easier to detect, whereas drones made from plastic and styrofoam materials are less visible to the radar systems. The measurement results are published as an open database, creating an invaluable reference for engineers working on drone detection.</p>

Topics
  • polymer
  • Carbon
  • laser emission spectroscopy
  • Lithium