Measurement based V2V path loss analysis in urban NLOS scenarios

Joo, Jhihoon; Eyobu, Odongo Steven; Han, Dong Seog; Jeong, Hyomin

doi:10.1109/icufn.2016.7536984

Cited by 10 publications

(12 citation statements)

References 6 publications

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“…The RSS is a sufficient starting point for radio channel modelling as it provides a rough estimate of reception conditions. In recent years, References [43,44] and [45] have also investigated the radio propagation channel in vehicular environments. A theoretical basis for RSS PRx is provided by the link budget which balances the signal power on receiver site, determining and evaluating the transmission quality.…”

Section: Fundamentalsmentioning

confidence: 99%

An Empirical Study on V2X Enhanced Low-Cost GNSS Cooperative Positioning in Urban Environments

Schwarzbach

Michler

Tauscher

et al. 2019

Sensors

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High-precision and lane selective position estimation is of fundamental importance for prospective advanced driver assistance systems (ADAS) and automated driving functions, as well as for traffic information and management processes in intelligent transportation systems (ITS). User and vehicle positioning is usually based on Global Navigation Satellite System (GNSS), which, as stand-alone positioning, does not meet the necessary requirements in terms of accuracy. Furthermore, the rise of connected driving offers various possibilities to enhance GNSS positioning by applying cooperative positioning (CP) methods. Utilizing only low-cost sensors, especially in urban environments, GNSS CP faces several demanding challenges. Therefore, this contribution presents an empirical study on how Vehicle-to-Everything (V2X) technologies can aid GNSS position estimation in urban environments, with the focus being solely on positioning performance instead of multi-sensor data fusion. The performance of CP utilizing common positioning approaches as well as CP integration in state-of-the-art Vehicular Ad-hoc Networks (VANET) is displayed and discussed. Additionally, a measurement campaign, providing a representational foundation for validating multiple CP methods using only consumer level and low-cost GNSS receivers, as well as commercially available IEEE 802.11p V2X communication modules in a typical urban environment is presented. Evaluating the algorithm’s performance, it is shown that CP approaches are less accurate compared to single positioning in the given environment. In order to investigate error influences, a skyview modelling seeking to identify non-line-of-sight (NLoS) effects using a 3D building model was performed. We found the position estimates to be less accurate in areas which are affected by NLoS effects such as multipath reception. Due to covariance propagation, the accuracy of CP approaches is decreased, calling for strategies for multipath detection and mitigation. In summary, this contribution will provide insights on integration, implementation strategies and accuracy performances, as well as drawbacks for local area, low-cost GNSS CP in urban environments.

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Section: Fundamentalsmentioning

confidence: 99%

An Empirical Study on V2X Enhanced Low-Cost GNSS Cooperative Positioning in Urban Environments

Schwarzbach

Michler

Tauscher

et al. 2019

Sensors

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“…The PL parameters for LOS condition are reported in Table 1 [15,16]. To take into account the NLOS case, we consider an attenuation factor from 10 dB to 25 dB in received power [17]. Shadowing is the effect that the received signal power fluctuates due to objects obstructing the propagation and is represented with the random process X_σ, having a Gaussian distribution with zero mean value and standard deviation in Table 1.…”

Section: = • •mentioning

confidence: 99%

Modeling and Analysis of 802.11p Physical Layer for V2X Connected Transport Systems Considering Harsh Operating Conditions and HW Device Performance

Saponara

Gagliardi

2018

2018 International Conference of Electrical and Electronic Technologies for Automotive

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Intelligent driving is a promising area for increased safety and comfort. Vehicular communication is an essential part to build such systems. This paper describes the modelling and the implementation of the IEEE 802.11p Physical (PHY) Layer to determine its reliability for vehicleto-everything (V2X), and particularly vehicle-to-vehicle (V2V), communications in the automotive field. A Matlab/ Simulink simulation is carried out to analyze not only the baseband processing of the transceiver, but also the RF hardware part, the physical channel in different operating conditions and environments, and all the main impairments and sources of interferences/noise. The transceiver model consists of three parts, the transmitter, the receiver and the intermediate channel block. The model can be used to explore the performance (bit-rate, successfully delivered packet-rate, latency,..) of V2X links in different conditions (line-of-sight, non-line-of-sight), and environments (urban, suburban, rural and highway), considering single-hop or multi-hop networking, and allowing also dynamically changing the channel characteristics, or even using different modulation and coding schemes and physical transmission parameters. To assess the proposed V2X simulation tool, the simulation results are compared to the theoretical performance and to experimental results, obtained using the NEC LinkBird-MX C2X device. The proposed simulation tool can be useful to study the impact of vehicles distance, speed and operating scenario on the reliability of the communication system, once fixed the hardware apparatus, or to specify the performance of the hardware components needed to ensure a given V2X communication performance.

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“…However, in real-world environments, adverse radio-frequency propagation conditions, including shadowing, blockage, multipath propagation and high vehicle dynamics, causing large- and small-scale fading, will make it difficult to achieve the message update rate required by the safety application. Many research groups have investigated the radio propagation channel in vehicular environments [ 116 , 117 , 118 , 119 ]. Other research groups look into the impact in terms of the attenuation of certain obstacles, such as large vehicles on the V2V signal [ 120 , 121 ].…”

Section: Cooperative Relative Positioningmentioning

confidence: 99%

Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles

Müller

2017

Sensors

188

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Future driver assistance systems will rely on accurate, reliable and continuous knowledge on the position of other road participants, including pedestrians, bicycles and other vehicles. The usual approach to tackle this requirement is to use on-board ranging sensors inside the vehicle. Radar, laser scanners or vision-based systems are able to detect objects in their line-of-sight. In contrast to these non-cooperative ranging sensors, cooperative approaches follow a strategy in which other road participants actively support the estimation of the relative position. The limitations of on-board ranging sensors regarding their detection range and angle of view and the facility of blockage can be approached by using a cooperative approach based on vehicle-to-vehicle communication. The fusion of both, cooperative and non-cooperative strategies, seems to offer the largest benefits regarding accuracy, availability and robustness. This survey offers the reader a comprehensive review on different techniques for vehicle relative positioning. The reader will learn the important performance indicators when it comes to relative positioning of vehicles, the different technologies that are both commercially available and currently under research, their expected performance and their intrinsic limitations. Moreover, the latest research in the area of vision-based systems for vehicle detection, as well as the latest work on GNSS-based vehicle localization and vehicular communication for relative positioning of vehicles, are reviewed. The survey also includes the research work on the fusion of cooperative and non-cooperative approaches to increase the reliability and the availability.

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Measurement based V2V path loss analysis in urban NLOS scenarios

Cited by 10 publications

References 6 publications

An Empirical Study on V2X Enhanced Low-Cost GNSS Cooperative Positioning in Urban Environments

An Empirical Study on V2X Enhanced Low-Cost GNSS Cooperative Positioning in Urban Environments

Modeling and Analysis of 802.11p Physical Layer for V2X Connected Transport Systems Considering Harsh Operating Conditions and HW Device Performance

Survey on Ranging Sensors and Cooperative Techniques for Relative Positioning of Vehicles

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