Antennas utilized for intra-vehicle 3–11GHz and 55–65GHz channel measurement

Mikulasek, Tomas; Blumenstein, Jiří; Prokeš, Aleš

doi:10.1109/piers.2016.7735597

Cited by 8 publications

(3 citation statements)

References 9 publications

(12 reference statements)

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“…To power the transmitter (TX) and receiver (RX) hardware, the TX is powered by a large battery pack mounted in the trunk, while the RX is powered by a generator loaded on the trailer. The RX and TX are each equipped with a pair of omnidirectional Substrate-Integrated waveguide (SIW), as expounded upon in [10], [11]. The antenna is situated in the upper left-hand corner of the windshield of the test vehicle, as viewed from the driver's perspective, and is securely fastened using a suction cup.…”

Section: B V2v Channel Measurementsmentioning

confidence: 99%

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service

Skocaj,

Di Cicco,

Zugno

et al. 2023

IEEE Commun. Mag.

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We present two datasets for Machine Learning (ML)-based Predictive Quality of Service (PQoS) comprising Vehicle-to-Infrastructure (V2I) and Vehicle-to-Vehicle (V2V) radio channel measurements. As V2V and V2I are both indispensable elements for providing connectivity in Intelligent Transport Systems (ITS), we argue that a combination of the two datasets enables the study of Vehicle-to-Everything (V2X) connectivity in its entire complexity. We describe in detail our methodologies for performing V2V and V2I measurement campaigns, and we provide illustrative examples on the use of the collected data. Specifically, we showcase the application of approximate Bayesian Methods using the two presented datasets to portray illustrative use cases of uncertainty-aware Quality of Service and Channel State Information forecasting. Finally, we discuss novel exploratory research direction building upon our work. The V2I and V2V datasets are available on IEEE Dataport 1 , and the code utilized in our numerical experiments is publicly accessible via CodeOcean 2 .

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Section: B V2v Channel Measurementsmentioning

confidence: 99%

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service

Skocaj,

Di Cicco,

Zugno

et al. 2023

IEEE Commun. Mag.

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“…The same antenna, shown in Figure 5, is used at the transmitter and receiver sides. It is a redesign of the conical monopole antenna (CMP) introduced in [31]. The choice of the CMP is motivated by the requirement for a constant gain within the frequency span of interest and by radial symmetry of the antenna.…”

Section: Measurement Setupmentioning

confidence: 99%

Low-Complexity Wideband Interference Mitigation for UWB ToA Estimation

Hechenberger

Tertinek²,

Arthaber

2023

Sensors

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Reliable time of arrival (ToA) estimation in dense multipath (dm) environments is a difficult task, especially when strong interference is present. The increasing number of multiple services in a shared spectrum comes with the demand for interference mitigation techniques. Multiple receiver elements, even in low-energy devices, allow for interference mitigation by processing coherent signals, but computational complexity has to be kept at a minimum. We propose a low-complexity, linearly constrained minimum variance (LCMV) interference mitigation approach in combination with a detection-based ToA estimator. The performance of the method within a realistic multipath and interference environment is evaluated based on measurements and simulations. A statistical analysis of the ToA estimation error is provided in terms of the mean absolute error (mae), and the results are compared to those of a band-stop filter-based interference blocking approach. While the focus is on receivers with only two elements, an extension to multiple elements is discussed as well. Results show that the influence of strong interference can be drastically reduced, even when the interference bandwidth exceeds 60% of the signal bandwidth. Moreover, the algorithm is robust to uncertainties in the angle of arrival (aoa) of the desired signal. Based on these results, the proposed mitigation method is well suited when the interference bandwidth is large and when computational power is a critical resource.

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“…The RF signal then propagates through the channel, which is the object of the measurement. For the channel sounding, typically an open‐ended WR15 waveguide is used as it is very simple and offers an acceptable radiation pattern [14]. The received signal is then down converted and the output signal – complex, in the form of I and Q components – is passed to the oscilloscope for sampling and further processing.…”

Section: System Descriptionmentioning

confidence: 99%