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Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018)

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A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: closed (15 October 2018) | Viewed by 19304

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Special Issue Editors

Prof. Jari Nurmi

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Guest Editor

Laboratory of Electronics and Communications Engineering, Tampere University of Technology, Tampere, Finland
Interests: GNSS receiver architecture and implementation; multi-technology positioning; Software-Defined Radio for communications and positioning; cognitive and cooperative positioning; IoT and embedded systems; reconfigurable and adaptable systems; approximate computing in particular in receiver baseband domain
Special Issues, Collections and Topics in MDPI journals

Prof. Adriano J. C. Moreira

E-Mail Website
Guest Editor

Algoritmi Research Centre, Universidade do Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: indoor positioning; mobile and context-aware computing; urban computing; human mobility analysis; opportunistic networks and simulation of wireless and mobile networks in urban contexts
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The 8^th International Conference on Localization and GNSS (ICL-GNSS) will take place in Guimarães, Portugal on 26–28 June, 2018.

ICL-GNSS addresses the latest research on wireless and satellite-based positioning techniques to provide reliable and accurate position information with low latency. The emphasis is on the design of mass-market navigation receivers and related tools and methodologies. Authors of the selected papers from the conference are invited to submit the extended versions of their original papers and contributions regarding the following topics:

Antennas and RF front-end for GNSS receivers
Design, prototyping and testing of positioning devices
Acquisition, tracking and navigation algorithms
Detection and mitigation techniques for adverse propagation conditions
Wireless and sensor-based localization
GNSS applications for remote sensing, ionospheric sounding and space weather
Precise timing for GNSS and terrestrial systems
Security and privacy in joint communication and navigation systems
Authentication and privacy aspects of positioning
Spoofing countermeasures
Cooperative and peer-to-peer positioning
Positioning based on signals-of-opportunity
Multi-GNSS receivers and emerging navigation satellite systems
Indoor positioning and localisation in densely populated urban areas
Hybrid NAV/COM positioning
Cognitive positioning architectures
Positioning for autonomous systems (robots, planes, land and marine vehicles)
Crowd-sourced and swarm localisation
Location-based mobility models, services and applications

Prof. Jari Nurmi
Prof. Adriano J. C. Moreira
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Global Navigation Satellite Systems
Wireless positioning
Jamming and spoofing
Cooperative positioning
Multi-GNSS receivers
Hybrid positioning
Indoor positioning
Self-driving cars
Autonomous vehicles
Unmanned Aerial Vehicles
Sensor fusion

Related Special Issues

Selected Papers from 9th International Conference on Localization and GNSS 2019 (ICL-GNSS 2019) in Sensors (8 articles)
Selected Papers from 10th International Conference on Localization and GNSS 2020 (ICL-GNSS 2020) in Sensors (8 articles)
Selected Papers from 11th International Conference on Localization and GNSS 2021 (ICL-GNSS 2021) in Sensors (3 articles)

Published Papers (5 papers)

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Research

23 pages, 3470 KiB

Open AccessArticle

Design, Implementation and Validation of a GNSS Measurement Exclusion and Weighting Function with a Dual Polarized Antenna

by Daniel Egea-Roca, Antonio Tripiana-Caballero, José A. López-Salcedo, Gonzalo Seco-Granados, Wim De Wilde, Bruno Bougard, Jean-Marie Sleewaegen and Alexander Popugaev

Sensors 2018, 18(12), 4483; https://doi.org/10.3390/s18124483 - 18 Dec 2018

Cited by 5 | Viewed by 3710

Abstract

Global Navigation Satellite Systems (GNSSs) have become a ubiquitous tool for our modern society to carry out vital tasks such as transportation, civil engineering or precision agriculture. This breath has reached the realm of safety-critical applications such as time management of critical infrastructures or autonomous vehicles, in which GNSS is an essential tool nowadays. Unfortunately, current GNSS performance is not enough to fulfill the requirements of these professional and critical applications. For this reason, the FANTASTIC project was launched to boost the adoption of these applications. The project was funded by the European GNSS agency (GSA) in order to enhance the robustness and accuracy of GNSS in harsh environments. This paper presents the part related to the development of a weighting and exclusion function with a dual circularly polarized antenna. The idea is to reduce the effects of multipath by weighting and/or excluding those measurements affected by multipath. The observables and other metrics obtained from a dual polarized antenna will be exploited to define an exclusion threshold and to provide the weights. Real-world experiments will show the improvement in the positioning solution, using all available constellations, obtained with the developed technique. Full article

(This article belongs to the Special Issue Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018))

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Graphical abstract

24 pages, 1068 KiB

Open AccessArticle

Accuracy Bounds for Array-Based Positioning in Dense Multipath Channels

by Thomas Wilding, Stefan Grebien, Ulrich Mühlmann and Klaus Witrisal

Sensors 2018, 18(12), 4249; https://doi.org/10.3390/s18124249 - 03 Dec 2018

Cited by 15 | Viewed by 2833

Abstract

The accuracy of radio-based positioning systems will be limited by multipath interference in realistic application scenarios. This paper derives closed-form expressions for the Cramér–Rao lower bound (CRLB) on the achievable time-of-arrival (ToA) and angle-of-arrival (AoA) estimation-error variances, considering the presence of multipath radio channels, and extends these results to position estimation. The derivations are based on channel models comprising deterministic, specular multipath components as well as stochastic, diffuse/dense multipath. The derived CRLBs thus allow an evaluation of the influence of channel parameters, the geometric configuration of the environment, and system parameters such as signal bandwidth and array geometry. Our results quantify how the ToA and AoA accuracies decrease when the signal bandwidth is reduced, because more multipath will then interfere with the useful LoS component. Antenna arrays can (partly) compensate this performance loss, exploiting diversity among the multipath interference. For example, the AoA accuracy with a 16-element linear array at

1 MHz

bandwidth is similar to a two-element array at

1 GHz

, in the magnitude order of one degree. The ToA accuracy, on the other hand, still scales by a factor of 100 from the cm-regime to the m-regime because of the dominating influence of the signal bandwidth. The position error bound shows the relationship between the range and angle information under realistic indoor channel conditions and their different scaling behaviors as a function of the anchor–agent placement. Specular multipath components have a maximum detrimental influence near the walls. It is shown for an L-shaped room that a fairly even distribution of the position error bound can be achieved throughout the environment, using two anchors equipped with

2 \times 2

-array antennas. The accuracy limit due to multipath increases from the 1–10-cm-range at

1 GHz

bandwidth to the 0.5–1-m-range at

100 MHz

. Full article

(This article belongs to the Special Issue Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018))

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30 pages, 5749 KiB

Open AccessArticle

Enhancement of Localization Systems in NLOS Urban Scenario with Multipath Ray Tracing Fingerprints and Machine Learning

by Marcelo N. de Sousa and Reiner S. Thomä

Sensors 2018, 18(11), 4073; https://doi.org/10.3390/s18114073 - 21 Nov 2018

Cited by 29 | Viewed by 5818

Abstract

A hybrid technique is proposed to enhance the localization performance of a time difference of arrival (TDOA) deployed in non-line-of-sight (NLOS) suburban scenario. The idea was to use Machine Learning framework on the dataset, produced by the ray tracing simulation, and the Channel Impulse Response estimation from the real signal received by each sensor. Conventional localization techniques mitigate errors trying to avoid NLOS measurements in processing emitter position, while the proposed method uses the multipath fingerprint information produced by ray tracing (RT) simulation together with calibration emitters to refine a Machine Learning engine, which gives an extra layer of information to improve the emitter position estimation. The ray-tracing fingerprints perform the target localization embedding all the reflection and diffraction in the propagation scenario. A validation campaign was performed and showed the feasibility of the proposed method, provided that the buildings can be appropriately included in the scenario description. Full article

(This article belongs to the Special Issue Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018))

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13 pages, 2849 KiB

Open AccessArticle

Employing Ray-Tracing and Least-Squares Support Vector Machines for Localisation

by Benny Chitambira, Simon Armour, Stephen Wales and Mark Beach

Sensors 2018, 18(11), 4059; https://doi.org/10.3390/s18114059 - 20 Nov 2018

Cited by 3 | Viewed by 2888

Abstract

This article evaluates the use of least-squares support vector machines, with ray-traced data, to solve the problem of localisation in multipath environments. The schemes discussed concern 2-D localisation, but could easily be extended to 3-D. It does not require NLOS identification and mitigation, hence, it can be applied in any environment. Some background details and a detailed experimental setup is provided. Comparisons with schemes that require NLOS identification and mitigation, from earlier work, are also presented. The results demonstrate that the direct localisation scheme using least-squares support vector machine (the Direct method) achieves superior outage to TDOA and TOA/AOA for NLOS environments. TDOA has better outage in LOS environments. TOA/AOA performs better for an accepted outage probability of 20 percent or greater but as the outage probability lowers, the Direct method becomes better. Full article

(This article belongs to the Special Issue Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018))

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17 pages, 1049 KiB

Open AccessArticle

Reliable Positioning and mmWave Communication via Multi-Point Connectivity

by Dileep Kumar, Jani Saloranta, Jarkko Kaleva, Giuseppe Destino and Antti Tölli

Sensors 2018, 18(11), 4001; https://doi.org/10.3390/s18114001 - 16 Nov 2018

Cited by 10 | Viewed by 3212

Abstract

One of the key elements of future 5G and beyond mobile technology is millimeter-wave (mmWave) communications, which is targeted to extreme high-data rate services. Furthermore, combining the possibility of a wideband signal transmission with the capability of pencil-beamforming, mmWave technology is key for accurate cellular-based positioning. However, it is also well-known that at the mmWave frequency band the radio channel is very sensitive to line-of-sight blockages giving rise to unstable connectivity and inefficient communication. In this paper, we tackle the blockage problem and propose a solution to increase the communication reliability by means of a coordinated multi-point reception. We also investigate the advantage of this solution in terms of positioning quality. More specifically, we describe a robust hybrid analog–digital receive beamforming strategy to combat the unavailability of dominant links. Numerical examples are provided to validate the efficiency of our proposed method. Full article

(This article belongs to the Special Issue Selected Papers from 8th International Conference on Localization and GNSS 2018 (ICL-GNSS 2018))

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