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    <title>Beyond the spatio-temporal limits of atmospheric radars</title>
    <subTitle>inverse problem techniques and MIMO systems</subTitle>
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  <abstract type="Summary">The Earth’s upper atmosphere (UA) is a highly dynamic region dominated by atmospheric waves and stratified turbulence covering a wide range of spatio-temporal scales. A comprehensive study of the UA requires measurements over a broad range of frequencies and spatial wavelengths, which are prohibitively costly. To improve the understanding of the UA, an investment in efficient and large observational infrastructures is required. This work investigates remote sensing techniques based on MIMO and inverse problems techniques to improve the capabilities of current atmospheric radars.&lt;eng&gt;</abstract>
  <note type="statement of responsibility">vorgelegt von Juan Miguel Edgar Urco Cordero</note>
  <note>GutachterInnen: Tobias Weber (University of Rostock, Germany) ; Jorge L. Chau (Institute for Atmospheric Physics, Germany) ; Juha Vierinen (The Arctic University ofNorway, Tromsø, Norway)</note>
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      <title>Beyond the spatio-temporal limits of atmospheric radars</title>
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