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<export-example>
  <doc>
    <id>7394</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">From Ray Tracing to Channel Impulse Responses: A Review on the Description of Polarimetric Time-Invariant SISO Channels</title>
    <abstract language="eng">One key enabler of autonomous driving is vehicle-to-everything (V2X) communication and positioning using cellular technologies. To design a vehicular localization system, the understanding and modeling of the physical radio channel (RC) is crucial. Polarization is an important yet often overlooked parameter of the RC. The combined polarization of the transmitting and receiving antennas, along with the environment, significantly affects the Channel Impulse Response (CIR) and localization performance. This paper aims to provide a deterministic description of the time-invariant Single-Input Single-Output (SISO) RC with focus on its polarimetric properties. The aim is to link the understanding of physical wave propagation directly to the conventional CIR descriptions used in localization and signal processing. The focus is on SISO RC modeling for arbitrary antennas, including Line-of-Sight (LoS) and multiple reflections. This study intentionally excludes diffraction, diffuse scattering, and bandwidth limitations, yet establishes a foundational frame-work for future multi-antenna systems with full polarimetric capabilities. The paper describes wave propagation using the Jones Calculus to separate polarimetric wave components, and models the polarimetric reception typical of RC modeling methods in positioning. This approach allows for the calculation of received signal at the antenna feed point. The application context of this research is in ranging or positioning within the V2X framework.</abstract>
    <parentTitle language="eng">2024 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 09-11 July 2024, Graz, Austria</parentTitle>
    <identifier type="isbn">979-8-3503-8845-9</identifier>
    <identifier type="issn">2834-8265</identifier>
    <identifier type="doi">10.1109/CoBCom62281.2024.10631174</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Franziska Rasp</author>
    <author>Burak Sahinbas</author>
    <author>Thomas Reisinger</author>
    <author>Susanne Hipp</author>
    <author>Erich Leitgeb</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Channel Modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Ray Tracing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Wave Propagation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Friis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Jones Calculus</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polarization Diversity</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
    <collection role="institutes" number="">Labor Hochfrequenztechnik</collection>
  </doc>
  <doc>
    <id>8396</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>5</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Experimental Validation of a Full Polarimetric Channel Model with Frequency-Dependent Antenna Gain for Polarization Diversity Studies</title>
    <abstract language="eng">Autonomous driving, child presence detection, and digital car keys rely on precise localization. Therefore, accurate simulation environments are essential for designing radio systems and optimizing their positioning algorithms. A critical aspect of developing a reliable localization system is modeling the physical radio channel, which includes the transmitting antenna, the propagation medium, and the receiving antenna. However, existing channel models often overlook important physical effects of antennas, such as frequency dependence and polarization, leading to discrepancies between simulations and real-world measurements. To address this, the paper enhances full polarimetric channel models by incorporating the frequency dependence of both antennas and propagation channels. The theoretical model is validated through Vector Network Analyzer channel sounding measurements using reference antennas. This approach provides a foundation for polarization-based post-processing, ultimately improving positioning accuracy.</abstract>
    <parentTitle language="eng">2025 19th European Conference on Antennas and Propagation (EuCAP), 30. March-04. April 2025, Stockholm</parentTitle>
    <identifier type="isbn">978-88-31299-10-7</identifier>
    <identifier type="doi">10.23919/EuCAP63536.2025.10999403</identifier>
    <enrichment key="opus.import.date">2025-07-21T09:53:58+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Franziska Rasp</author>
    <author>Burak Sahinbas</author>
    <author>Thomas Reisinger</author>
    <author>Susanne Hipp</author>
    <author>Erich Leitgeb</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Accuracy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Antenna Embedding</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Antenna measurements</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Antennas</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Channel Modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Channel models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Channel Sounding</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Frequency dependence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Frequency diversity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Location awareness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polarization Diversity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Propagation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Receiving antennas</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transmitting antennas</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Vectors</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
    <collection role="institutes" number="">Labor Hochfrequenztechnik</collection>
  </doc>
  <doc>
    <id>8620</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>IEEE</publisherName>
    <publisherPlace>Split</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2025-10-17</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Polarization-based peak distortion mitigation for 5G sidelink positioning</title>
    <abstract language="eng">For cooperative driving both environmental perception and communication with other vehicles and the infrastructure are essential to avoid safety critical situations. The 5G Sidelink, as part of the Cellular Vehicle to Everything framework, enables both communication and, since 3GPP Release 18, positioning for distance estimation between vehicles. Due to the expected bandwidth limitations of 5G Sidelink in the Intelligent Transportation System band, combined with signal distortion caused by multi-path superposition, achieving submeter positioning accuracy is a significant challenge. Polarization diversity is investigated as a potential approach to mitigate errors resulting from signal distortion and subsequent peak shifts due to multi-path superposition. This work investigates the potential for reduced peak shift errors through the use of dual-polarized receive antennas. The received signals are processed using a polarization scan algorithm and compared to the accuracy achieved with single-antenna systems. The analysis is conducted using the Quasi Deterministic Radio Channel Generator framework with statistical Vehicle-to-Everything channel models. Simulation results show that polarization scan-based postprocessing reduces peak shifts and improves robustness in scenarios with polarization-mismatched antenna configurations.</abstract>
    <parentTitle language="eng">2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 18-20 September 2025, Split, Coratia</parentTitle>
    <identifier type="url">https://ieeexplore.ieee.org/document/11197466</identifier>
    <identifier type="isbn">978-953-290-143-6</identifier>
    <identifier type="issn">1847-358X</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Franziska Rasp</author>
    <author>Burak Sahinbas</author>
    <author>Thomas Reisinger</author>
    <author>Erich Leitgeb</author>
    <author>Susanne Hipp</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Polarization Diversity</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Antennas</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Propagation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Positioning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>5G Sidelink</value>
    </subject>
    <collection role="institutes" number="FakEI">Fakultät Elektro- und Informationstechnik</collection>
    <collection role="othforschungsschwerpunkt" number="16315">Information und Kommunikation</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
  </doc>
</export-example>
