Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking

Forward collision warning systems, lane change assistants, and cooperative adaptive cruise control are examples of safety relevant applications that rely on accurate relative positioning between vehicles. Current solutions estimate the position of an in-front driving vehicle by measuring the distanc...

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Main Authors: Fabian de Ponte Müller, Diego Navarro Tapia, Matthias Kranz
Format: Article
Language:English
Published: SAGE Publishing 2015-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/459142
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spelling doaj-38fc8c17182845528efca923a350756b2020-11-25T03:41:09ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/459142459142Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and TrackingFabian de Ponte Müller0Diego Navarro Tapia1Matthias Kranz2 Institute of Communications and Navigation, German Aerospace Center (DLR), 82234 Wessling, Germany Communications Engineering Department, University of Málaga, 29071 Málaga, Spain Embedded Interactive Systems Laboratory, University of Passau, 94032 Passau, GermanyForward collision warning systems, lane change assistants, and cooperative adaptive cruise control are examples of safety relevant applications that rely on accurate relative positioning between vehicles. Current solutions estimate the position of an in-front driving vehicle by measuring the distance with a radar sensor, a laser scanner, or a camera system. The perception range of these sensors can be extended by the exchange of GNSS information between the vehicles using an intervehicle communication link. One possibility is to transmit GNSS pseudorange and carrier phase measurements and compute a highly accurate baseline vector that represents the relative position between two vehicles. Solving for the unknown integer ambiguity is specially challenging for low-cost single-frequency receivers. Using the well-known LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) algorithm, in this paper, we present a method for tracking the ambiguity vector solution, which is able to detect and recover from cycle slips and cope with changing satellite constellations. In several test runs performed in real-world open-sky environments with two vehicles, the performance of the proposed Ambiguity Tracker approach is evaluated. The experiments revealed that it is in fact possible to track the position of another vehicle with subcentimeter accuracy over longer periods of time with low-cost single-frequency receivers.https://doi.org/10.1155/2015/459142
collection DOAJ
language English
format Article
sources DOAJ
author Fabian de Ponte Müller
Diego Navarro Tapia
Matthias Kranz
spellingShingle Fabian de Ponte Müller
Diego Navarro Tapia
Matthias Kranz
Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
International Journal of Distributed Sensor Networks
author_facet Fabian de Ponte Müller
Diego Navarro Tapia
Matthias Kranz
author_sort Fabian de Ponte Müller
title Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
title_short Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
title_full Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
title_fullStr Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
title_full_unstemmed Precise Relative Positioning of Vehicles with On-the-Fly Carrier Phase Resolution and Tracking
title_sort precise relative positioning of vehicles with on-the-fly carrier phase resolution and tracking
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2015-11-01
description Forward collision warning systems, lane change assistants, and cooperative adaptive cruise control are examples of safety relevant applications that rely on accurate relative positioning between vehicles. Current solutions estimate the position of an in-front driving vehicle by measuring the distance with a radar sensor, a laser scanner, or a camera system. The perception range of these sensors can be extended by the exchange of GNSS information between the vehicles using an intervehicle communication link. One possibility is to transmit GNSS pseudorange and carrier phase measurements and compute a highly accurate baseline vector that represents the relative position between two vehicles. Solving for the unknown integer ambiguity is specially challenging for low-cost single-frequency receivers. Using the well-known LAMBDA (Least-squares AMBiguity Decorrelation Adjustment) algorithm, in this paper, we present a method for tracking the ambiguity vector solution, which is able to detect and recover from cycle slips and cope with changing satellite constellations. In several test runs performed in real-world open-sky environments with two vehicles, the performance of the proposed Ambiguity Tracker approach is evaluated. The experiments revealed that it is in fact possible to track the position of another vehicle with subcentimeter accuracy over longer periods of time with low-cost single-frequency receivers.
url https://doi.org/10.1155/2015/459142
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