@inproceedings{RaspSahinbasReisingeretal., author = {Rasp, Franziska and Sahinbas, Burak and Reisinger, Thomas and Hipp, Susanne and Leitgeb, Erich}, title = {From Ray Tracing to Channel Impulse Responses: A Review on the Description of Polarimetric Time-Invariant SISO Channels}, series = {2024 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 09-11 July 2024, Graz, Austria}, booktitle = {2024 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom), 09-11 July 2024, Graz, Austria}, publisher = {IEEE}, isbn = {979-8-3503-8845-9}, issn = {2834-8265}, doi = {10.1109/CoBCom62281.2024.10631174}, pages = {1 -- 8}, abstract = {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.}, language = {en} } @inproceedings{RaspEberleinPerneretal., author = {Rasp, Franziska and Eberlein, Ernst and Perner, Bastian and Roth-Mandutz, Elke and Hipp, Susanne}, title = {Enhanced 5G Sidelink Ranging Based on Carrier Aggregation}, series = {2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nuremberg, Germany, 25-28 September 2023}, booktitle = {2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN), Nuremberg, Germany, 25-28 September 2023}, publisher = {IEEE}, isbn = {9798350320114}, doi = {10.1109/IPIN57070.2023.10332548}, pages = {1 -- 6}, abstract = {Radio access network based positioning and ranging technologies become more and more important for autonomous driving. Positioning on the 5G Sidelink (SL) is discussed in Release 18 (2022-2024) of the Third Generation Partnership Project. For accurate timing-based ranging, a high temporal and spatial resolution is fundamental. The bandwidth for 5G SL positioning is limited due to sharing the existing SL resources with communication. Therefore, we send the positioning reference signal on two separate Component Carriers, i.e. we use a fragmented spectrum. We introduce a two step algorithm for estimating the time of arrival using the inflection point method. We proved a fragmented spectrum can achieve the same accuracy as a continuous spectrum.}, language = {en} } @inproceedings{RaspSahinbasReisingeretal., author = {Rasp, Franziska and Sahinbas, Burak and Reisinger, Thomas and Hipp, Susanne and Leitgeb, Erich}, title = {Experimental Validation of a Full Polarimetric Channel Model with Frequency-Dependent Antenna Gain for Polarization Diversity Studies}, series = {2025 19th European Conference on Antennas and Propagation (EuCAP), 30. March-04. April 2025, Stockholm}, booktitle = {2025 19th European Conference on Antennas and Propagation (EuCAP), 30. March-04. April 2025, Stockholm}, publisher = {IEEE}, isbn = {978-88-31299-10-7}, doi = {10.23919/EuCAP63536.2025.10999403}, pages = {5}, abstract = {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.}, language = {en} } @inproceedings{RaspSahinbasReisingeretal., author = {Rasp, Franziska and Sahinbas, Burak and Reisinger, Thomas and Leitgeb, Erich and Hipp, Susanne}, title = {Polarization-based peak distortion mitigation for 5G sidelink positioning}, series = {2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 18-20 September 2025, Split, Coratia}, booktitle = {2025 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 18-20 September 2025, Split, Coratia}, publisher = {IEEE}, address = {Split}, isbn = {978-953-290-143-6}, issn = {1847-358X}, pages = {6}, abstract = {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.}, language = {en} }