A simulation system for GNSS multipath mitigation using spatial statistical methods

Lee, Yang-Won; Suh, Yongcheol; Shibasaki, Ryosuke

doi:10.1016/j.cageo.2008.01.004

Cited by 30 publications

(10 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The methodologies, models, and algorithms were discussed but only for measuring the visibility parameter. Other studies focused on prediction of GNSS performances are for other purposes: (a) system analysis [2], (b) location and time planning [4], or (c) positioning quality improvement [5,6]. Much of the effort on predicting GNSS performances has been focused on developing simulation tools.…”

Section: Related Workmentioning

confidence: 99%

“…While there have been several studies addressing GNSS performances or predicting GNSS QoS for generic applications [2][3][4][5][6], there is a void in the literature discussing and utilizing GNSS QoS prediction to provide alternative navigation solutions based on GNSS QoS to navigation systems/services. Navigation systems/services are well-suited to take advantage of iGNSS QoS prediction where user's location in upcoming segments on routes can be predicted to ensure appropriate navigation performances and allow making navigation decisions in real time.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Integrated GNSS QoS Prediction for Navigation Services

Asavasuthirakul

Karimi

2013

Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science

View full text Add to dashboard Cite

As users increasingly rely on navigation assistance, they expect accurate and reliable navigation performances, especially in obstructed areas where positioning quality of global navigation satellite system (GNSS) is often deteriorated. This paper presents a novel methodology, called integrated GNSS (iGNSS) quality of service (QoS) prediction to provide a means for navigation applications to plan according to GNSS positioning quality. The methodology could be used to predict iGNSS QoS on prospective route segments ahead of time, among other tasks, allowing the navigation service to prepare a suitable plan before the users reaches the poor iGNSS QoS segments. The results were evaluated by comparing the predicted iGNSS QoS to the collected GPS data on sample routes in different environment surroundings under various parameter settings. The results show that the proposed methodology is capable of predicting GNSS QoS on segments under open sky condition accurately and identifying locations on segments with poor GNSS QoS.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated GNSS QoS Prediction for Navigation Services

Asavasuthirakul

Karimi

2013

Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Computational Transportation Science

View full text Add to dashboard Cite

show abstract

“…When evaluating the GNSS availability in urban canyons, local terrain variations should be taken into account since the satellite visibility and the user/satellite geometry are highly dependent on surrounding geographic features (Li et al, 2006). Recent GIS (geographic information system) approaches have used 3-D (three-dimensional) terrain data to predict GPS availability, for example, in Tokyo (Suh et al, 2004;Lee et al, 2006;Suh and Lee, 2007;Suh and Shibasaki, 2007) or in London (Taylor et al, 2005;Li et al, 2006;Taylor et al, 2007). The simulation results were almost in agreement with on-site surveys, which indicates that GIS methods can be of help especially for dense urban areas.…”

Section: Introductionmentioning

confidence: 99%

A GIS-based simulation to predict GPS availability along the Tehran Road in Seoul, Korea

2008

Self Cite

View full text Add to dashboard Cite

GPS (Global Positioning System) availability is somewhat limited in urban areas because portions of the signals are blocked, reflected, and diffracted by obstructions like buildings. This has been well known through a number of on-site surveys, and recent GIS (Geographic Information System) approaches also simulate the urban GPS availability using 3-D (three-dimensional) terrain data. However, such simulation for skyscraper areas in Seoul, Korea has not been reported yet. Hence, we built a GIS-based prediction model to analyze the GPS availability in terms of LOS (Line of Sight) and DOP (Dilution of Precision), and conducted a simulation for the Tehran Road in Seoul, according to time and location. Our prediction model can show spatiotemporal aspects in GPS availability and apply to examine when and where the navigation services are usable in dense urban areas.

show abstract

“…NLOS effects cannot be mitigated by correlators because NLOS only contains contaminated and reflected signals. Based on simulation of the possible GNSS signal transmission routes using the well-understood ray-tracing methods [8], 3D city maps aided (3DMA) GNSS [9][10][11][12][13] is developed to mitigate the multipath and exclude the NLOS receptions. Consistency check [14] methods are studied to detect the multipath effects without 3D city maps.…”

Section: Introductionmentioning

confidence: 99%

Exclusion of GNSS NLOS receptions caused by dynamic objects in heavy traffic urban scenarios using real-time 3D point cloud: An approach without 3D maps

Wen

Zhang

Hsu

2018

2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)

View full text Add to dashboard Cite

Absolute positioning is an essential factor for the arrival of autonomous driving. Global Navigation Satellites System (GNSS) receiver provides absolute localization for it. GNSS solution can provide satisfactory positioning in open or sub-urban areas, however, its performance suffered in superurbanized area due to the phenomenon which are well-known as multipath effects and NLOS receptions. The effects dominate GNSS positioning performance in the area. The recent proposed 3D map aided (3DMA) GNSS can mitigate most of the multipath effects and NLOS receptions caused by buildings based on 3D city models. However, the same phenomenon caused by moving objects in urban area is currently not modelled in the 3D geographic information system (GIS). Moving objects with tall height, such as the double-decker bus, can also cause NLOS receptions because of the blockage of GNSS signals by surface of objects. Therefore, we present a novel method to exclude the NLOS receptions caused by double-decker bus in highly urbanized area, Hong Kong. To estimate the geometry dimension and orientation relative to GPS receiver, a Euclidean cluster algorithm and a classification method are used to detect the double-decker buses and calculate their relative locations. To increase the accuracy and reliability of the proposed NLOS exclusion method, an NLOS exclusion criterion is proposed to exclude the blocked satellites considering the elevation, signal noise ratio (SNR) and horizontal dilution of precision (HDOP). Finally, GNSS positioning is estimated by weighted least square (WLS) method using the remaining satellites after the NLOS exclusion. A static experiment was performed near a doubledecker bus stop in Hong Kong, which verified the effectiveness of the proposed method.

show abstract

A simulation system for GNSS multipath mitigation using spatial statistical methods

Cited by 30 publications

References 20 publications

Integrated GNSS QoS Prediction for Navigation Services

Integrated GNSS QoS Prediction for Navigation Services

A GIS-based simulation to predict GPS availability along the Tehran Road in Seoul, Korea

Exclusion of GNSS NLOS receptions caused by dynamic objects in heavy traffic urban scenarios using real-time 3D point cloud: An approach without 3D maps

Contact Info

Product

Resources

About