Feasibility study of 5G-based localization for assisted driving

Peral-Rosado, José A. del; López-Salcedo, José A.; Kim, Sunwoo

doi:10.1109/icl-gnss.2016.7533837

Cited by 56 publications

(10 citation statements)

References 13 publications

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“…In rural areas due to the higher distances between the OBU and RSUs, the levels of HDOP are higher and this approach provides a reduced improvement of localization accuracy [ 3 ]. In addition to this, having a specific RSUs placement can ensure lower HDOP using fewer RSUs [ 34 , 38 ].…”

Section: Resultsmentioning

confidence: 99%

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Comparing Localization Performance of IEEE 802.11p and LTE-V V2I Communications

Halili

Weyn

Berkvens

2021

Sensors

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The future of transportation systems is going towards autonomous and assisted driving, aiming to reach full automation. There is huge focus on communication technologies expected to offer vehicular application services, of which most are location-based services. This paper provides a study on localization accuracy limits using vehicle-to-infrastructure communication channels provided by IEEE 802.11p and LTE-V, considering two different vehicular network designs. Real data measurements obtained on our highway testbed are used to model and simulate propagation channels, the position of base stations, and the route followed by the vehicle. Cramer–Rao lower bound, geometric dilution of precision, and least square error for time difference of arrival localization technique are investigated. Based on our analyses and findings, LTE-V outperforms IEEE 802.11p. However, it is apparent that providing larger signal bandwidth dedicated to localization, with network sites positioned at both sides of the highway, and considering the geometry between vehicle and network sites, improve vehicle localization accuracy.

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Section: Resultsmentioning

confidence: 99%

“…A weighted GDOP (WGDOP), using error statistics property and by selecting specific measurement units is done in [ 37 ]. In vehicular networks for hyperbolic TDOA is used in [ 3 , 38 ]. In this work, we have used DOP 2D to compare two different vehicular network designs.…”

Section: Related Workmentioning

confidence: 99%

Comparing Localization Performance of IEEE 802.11p and LTE-V V2I Communications

Halili

Weyn

Berkvens

2021

Sensors

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“…Vehicular safety applications, in addition to helping accident prevention, increase traffic law compliance, improve incident management, and facilitate crash investigations. Other than safe driving, applications which benefit from accurate vehicle positioning include autonomous vehicles, entertainment, traffic light con- 10 trol, assisted driving and detection of accidents [1,2,3,4,5,6]. Vehicle safety applications specifically require accurate positioning systems to improve vehicular navigation.…”

Section: Introductionmentioning

confidence: 99%

An accurate cooperative positioning system for vehicular safety applications

Neto

Gomes

Ortiz

et al. 2020

Computers & Electrical Engineering

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“…For instance, the Federal Communications Commission (FCC) of the United States (U.S.) defined enhanced 911 (E911) location requirements which encouraged the study of accurate localization in cellular systems [4]. Other applications like Smart City use cases, which include autonomous vehicles and intelligent transportation systems, have higher requirements for cellular-based localization [5,6]. Different positioning solutions and commercial location platforms intended for 2G/3G/4G/5G networks 2 of 25 have been extensively studied [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

et al. 2019

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A novel communication and navigation fusion system (CNFS) was developed to realized high accuracy positioning in constrained conditions. Communication and navigation fusion signal transmitted by base stations are in the same time and frequency band but are allocated different power levels. The positioning receiver of CNFS requires signal coverage of at least four base stations to realize positioning. The improvement of receiver sensitivity is an important way to expand signal coverage of base station. As an essential stage of signal processing in CNFS positioning receiver, signal acquisition requires a trade-off between improvement of acquisition frequency accuracy and reduction in computational load. A new acquisition algorithm called PMF-FC-BA-FFT method is proposed to acquire the carrier frequency accurately with lower computational load in a weak signal environment. The received signal is firstly filtered by partially matched filters (PMF) with local replica pseudorandom noise (PRN) sequences being coefficients to strip off the PRN code in the signal. Frequency compensation (FC) was performed to avoid the large attenuation in block accumulation (BA) and generate a series of signals with a small frequency offset step. Block accumulation was then executed. Finally, the acquisition detection was performed based on a series of fast Fourier transformation (FFT) outputs to obtain acquisition results with fine frequency estimation. Simulations and experimental tests results show that the proposed method can realize high accuracy frequency acquisition in a weak signal environment with fewer computational resources compared with existing acquisition methods.

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Feasibility study of 5G-based localization for assisted driving

Cited by 56 publications

References 13 publications

Comparing Localization Performance of IEEE 802.11p and LTE-V V2I Communications

Comparing Localization Performance of IEEE 802.11p and LTE-V V2I Communications

An accurate cooperative positioning system for vehicular safety applications

Fine Frequency Acquisition Scheme in Weak Signal Environment for a Communication and Navigation Fusion System

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