Combined analysis of local influences and multipath effects for a lane-specific positioning of vehicles in traffic streams

Abstract

Abstract-Future smart traffic environments require very accurate positioning of vehicles to allow for sophisticated traffic flow modeling or autonomous control of cars. To avoid traffic congestion on motorways, a lane-specific localization of vehicles is required to allow for the detection of short-term deviations of traffic flows due to roadwork or accidents. In this paper, we investigate the accuracy of GNSS-based positioning data with consideration of all relevant impairments of the propagation channel, like molecular scattering, ionospheric scintillation and effects caused by the direct receiver surrounding. Taking into account satellite mobility and constellations, position-specific atmospheric influences and the impacts of shadowing and multipath propagation on the determination of TOA values, the accuracy of a lane-specific positioning is investigated for both GPS and GALILEO. The results presented in this paper are based on a dedicated multiscale simulation framework which includes an exact 3D model of the environment of the GNSS receiver. Based on the investigation of a reference scenario, the results demonstrate the feasibility of lane-specific localization enabled by the compensation of both ionospheric as well as multipath fading effects.

Cloud-aided SDR solution for lane-specific vehicle positioning via Local Interference Compensation

“…It turns out that the best performance gain occurs when using the GPS integrated troposphere correction, whereby ionosphere and multipath effects are compensated by the LOCATe. Pure GPS for example shows an expectable deviation for highly challenging environments, which also fits to former evaluations [2]. Based on the fact that the scenario deals with traffic situations, it is obvious to add plausibility routines, like normal GPS receiver do.…”

“…The Multipath Error Calculator (MEC) in Figure 3 was already explained in detail in [2] and therefore will be just mentioned shortly in this contribution. Based on a detailed 3D model of the direct receiver surroundings, the MEC simulates accurate satellite movements of any actual or future GNSS constellation using OS 3 .…”

“…But local effects are decreasing their performance, especially in challenging environments like urban canyons, and by that areas with a high probability of congested traffic situation. Former publications already clarified the high influences of local effects and the necessity of compensating them to provide position-continuous and highly accurate applications [1] [2]. Additionally, further scenarios are conceivable which might take advantage of such improvements, like navigation for the blind, augmented reality or even Micro-UAVs like in [3].…”

Smart constellation selection for precise vehicle positioning in urban canyons using a software-defined receiver solution

“…The idea is to store the data with the calculated GPS/GNSS position, recalculate the result using compensation or filtering routines, like explained in [8] and [9], and provide it back to the accessible web-server. To clarify the proper functioning and to gain further scientific benefits for the community, the authors start with the upload of geo-referenced GPS measurements to allow further researchers to test and validate their ideas to improve the GNSS positioning accuracy (see Section IV-B).…”

“…The project AIRBEAM also may take advantage of an improved and predictable positioning accuracy to improve the mobility routine of Unmanned Aerial Vehicles (UAVs) within emerging situations. Former publications already show the influences caused by atmospheric or local effects, like multipath or shadowing, using a simulation framework including ray tracing [8] [9]. To confirm these results and to enable a separated analysis of all influences, this contribution deals with the development of an Advanced Software-Defined GNSS Receiver (ASDR) based on GNU Radio.…”