63070.pdf

In the past years, global navigation satellite systems (GNSS) have gained the core position concerning the geolocalization applications and services in urban environments. The major issue of the GNSS-based urban application expansion is related to the positioning service quality assurance, expressed...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Γλώσσα:English
Έκδοση: InTechOpen 2021
id oapen-20.500.12657-49309
record_format dspace
spelling oapen-20.500.12657-493092021-11-23T13:57:15Z Chapter Robust GNSS Positioning in Urban Environment Shytermeja, Enik GNSS, extended Kalman filter, vector tracking, multipath, NLOS, correlators bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGW Geographical information systems (GIS) & remote sensing In the past years, global navigation satellite systems (GNSS) have gained the core position concerning the geolocalization applications and services in urban environments. The major issue of the GNSS-based urban application expansion is related to the positioning service quality assurance, expressed in terms of accuracy, integrity, availability, and continuity of the localization service. The dense urban environments, such as city centers, are challenging to the GNSS signal reception causing the frequent blockage of the line-of-sight (LOS) signals and the multipath phenomenon, referred to as the reception of the diffracted/reflected echoes of the transmitted signal. These effects severely affect the pseudo-range and Doppler measurements, used by a GNSS receiver for the user’s position computation, which will further induce the computation of an erroneous positioning solution by the navigation processor down to a positioning loss in the presence of limited satellite visibility and few provided measurements. Therefore, advanced signal processing techniques do represent viable solutions aiming at the mitigation of these undesired effects in order to foster the accuracy and availability of the localization solution. This chapter will address in details the GNSS vector tracking (VT) receiver’s configuration able to cope with the urban environment-induced effects. 2021-06-02T10:11:53Z 2021-06-02T10:11:53Z 2019 chapter ONIX_20210602_10.5772/intechopen.80412_423 https://library.oapen.org/handle/20.500.12657/49309 eng application/pdf n/a 63070.pdf InTechOpen 10.5772/intechopen.80412 10.5772/intechopen.80412 09f6769d-48ed-467d-b150-4cf2680656a1 FP7-PEOPLE-2012-ITN 316528 open access
institution OAPEN
collection DSpace
language English
description In the past years, global navigation satellite systems (GNSS) have gained the core position concerning the geolocalization applications and services in urban environments. The major issue of the GNSS-based urban application expansion is related to the positioning service quality assurance, expressed in terms of accuracy, integrity, availability, and continuity of the localization service. The dense urban environments, such as city centers, are challenging to the GNSS signal reception causing the frequent blockage of the line-of-sight (LOS) signals and the multipath phenomenon, referred to as the reception of the diffracted/reflected echoes of the transmitted signal. These effects severely affect the pseudo-range and Doppler measurements, used by a GNSS receiver for the user’s position computation, which will further induce the computation of an erroneous positioning solution by the navigation processor down to a positioning loss in the presence of limited satellite visibility and few provided measurements. Therefore, advanced signal processing techniques do represent viable solutions aiming at the mitigation of these undesired effects in order to foster the accuracy and availability of the localization solution. This chapter will address in details the GNSS vector tracking (VT) receiver’s configuration able to cope with the urban environment-induced effects.
title 63070.pdf
spellingShingle 63070.pdf
title_short 63070.pdf
title_full 63070.pdf
title_fullStr 63070.pdf
title_full_unstemmed 63070.pdf
title_sort 63070.pdf
publisher InTechOpen
publishDate 2021
_version_ 1771297598943002624