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Maintaining robust tracking and positioning integrity in harsh environments is a real challenge for GNSS receivers. This paper considers three possible tracking and navigation solutions to address this challenge. Firstly, a vector tracking loop (VTL) capable of using correlator-based multipath detectors and other signal quality indicators to exclude contaminated satellites from the PVT calculation...
On behalf of the Swiss Institute of Navigation (ION-CH) and the Ecole Polytechnique de Lausanne (EPFL), the pleasure is mine to welcome each of you to the European Navigation Conference. Organised annually under the umbrella of the European Group of Institutes of Navigation (EUGIN), ENC 2017 is the twenty-fifth conference in the series, and the second one in Switzerland following Geneva in 2007.
Satellite navigation is very widespread in civil society; many devices and services exploit this technology and several systems are in use or in development phase. GNSS receiver, embedded in devices used in daily life (smartphones, cars and so on), works in several conditions and operational scenarios. Ensuring good positioning accuracy is challenging, especially in environment where receiver measurements...
Considered as the free accessible and suitable solution for positioning in urban areas, Global Navigation Satellite Systems (GNSS) have been widely used these recent years in a wide spectrum of applications. However, signal blockage, non-line-of-sight (NLOS) multipath interferences and signal degradation affect the system performance and represent the major hurdles of GNSS in it course of adoption...
Integrating satellite based navigation into the railway standard can enable reliable and cost-efficient railway navigation everywhere. This makes is very attractive for railway. Thus its integration is strongly supported within the European railway evolution program. However, railway environments exhibit many challenges. Local threats are major issues for robust GNSS based railway navigation. They...
Accurate and safe train position determination is of great importance for railway systems. Additionally, it has become one of the biggest challenges for the Safety-of-Life (SoL) services in railway transport systems using GNSS techniques. The critical performance requirements of these services promote the users to develop safe Train Positioning Systems (TPSs), in which integrity has to be highly concerned...
This paper proposes a novel method of grafting one of the measurements of interferometric radar altimeter (IRA) onto particle filter that uses sequential importance resampling (SIR) to enhance the performance of terrain referenced navigation (TRN). IRA which is a terrain sensor that measures slant range, slant angle and look angle to the closest terrain point from the aircraft is introduced. The procedure...
Archived GPS ephemeris data for years 2000–2016 is investigated by cleansing and precision measures. The goal of this work was twofold: (1) to reveal and remove incorrect ephemeris data so that the cleansed data is as close to the real broadcasted data as possible, and (2) to analyse the quality of the cleansed data by comparing ephemeris based satellite locations to true locations. Our findings show...
Transit services or public transportation is expected to be able to not only provide a good mobility and accessibility to people in a city, but it should allow a pleasant journey to them to attract people to ride it. It can be influenced by the presence of built environments such as the pedestrian facilities and furniture along the walking route. Therefore, many studies have attempted to measure the...
Accurate 3D city map becomes available and commercialized for various applications. 3D map information could improve the performance of GNSS positioning in the city urban environment by recognizing the Non-Line-Of-Sight and multipath signal. In ENC 2015, we have presented the idea of the position hypothesis based GNSS positioning method using 3D maps, called 3D-GNSS. After that, we further improved...
Foot-mounted inertial positioning (FMIP) and fingerprinting based WiFi indoor positioning (FWIP) are two promising solutions for indoor positioning. However, FMIP suffers from accumulative positioning errors in the long term while FWIP involves a very labor-intensive offline training phase. A new approach combining the two solutions is proposed in this paper, which can limit the error growth in FMIP...
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