In this paper, multipath error on Global Navigation Satellite System (GNSS) signals in urban environments is characterized with the help of Light Detection and Ranging (LiDAR) measurements. For this purpose, LiDAR equipment and Global Positioning System (GPS) receiver implementing a multipath estimating architecture were used to collect data in an urban environment. This paper demonstrates how GPS and LiDAR measurements can be jointly used to model the environment and obtain robust receivers. Multipath amplitude and delay are estimated by means of LiDAR feature extraction and multipath mitigation architecture. The results show the feasibility of integrating the information provided by LiDAR sensors and GNSS receivers for multipath mitigation.

Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors / Ali, Khurram; Chen, Xin; Dovis, Fabio; David De, Castro; Antonio J., Fernández. - In: SENSORS. - ISSN 1424-8220. - ELETTRONICO. - 12:11(2012), pp. 14592-14603. [10.3390/s121114592]

Multipath Estimation in Urban Environments from Joint GNSS Receivers and LiDAR Sensors

ALI, KHURRAM;CHEN, XIN;DOVIS, Fabio;
2012

Abstract

In this paper, multipath error on Global Navigation Satellite System (GNSS) signals in urban environments is characterized with the help of Light Detection and Ranging (LiDAR) measurements. For this purpose, LiDAR equipment and Global Positioning System (GPS) receiver implementing a multipath estimating architecture were used to collect data in an urban environment. This paper demonstrates how GPS and LiDAR measurements can be jointly used to model the environment and obtain robust receivers. Multipath amplitude and delay are estimated by means of LiDAR feature extraction and multipath mitigation architecture. The results show the feasibility of integrating the information provided by LiDAR sensors and GNSS receivers for multipath mitigation.
2012
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2503485
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