Potential Benefits of GPS/GLONASS/GALILEO Integration in an Urban Canyon – Hong Kong

Ji, Shengyue; Chen, Wu; Ding, Xiaoli; Chen, Yongqi; Zhao, Chunjiang; Hu, Chengjin

doi:10.1017/s0373463310000081

Cited by 46 publications

(33 citation statements)

References 8 publications

(4 reference statements)

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“…A comparison of simulations and real observations has been conducted for GPS/ GLONASS/Galileo satellites using 3-D spatial information (Kim et al, 2009). The LOS performance of GPS/GLONASS/Galileo in urban environments was evaluated by simulating a route in an urban environment (Ji et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Multi-Constellation GNSS Performance Evaluation for Urban Canyons Using Large Virtual Reality City Models

2012

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Positioning using the Global Positioning System (GPS) is unreliable in dense urban areas with tall buildings and/or narrow streets, known as 'urban canyons'. This is because the buildings block, reflect or diffract the signals from many of the satellites. This paper investigates the use of 3-Dimensional (3-D) building models to predict satellite visibility. To predict Global Navigation Satellite System (GNSS) performance using 3-D building models, a simulation has been developed. A few optimized methods to improve the efficiency of the simulation for real-time purposes were implemented. Diffraction effects of satellite signals were considered to improve accuracy. The simulation is validated using real-world GPS and GLObal NAvigation Satellite System (GLONASS) observations. The performance of current and future GNSS in urban canyons is then assessed by simulation using an architectural city model of London with decimetre-level accuracy. GNSS availability, integrity and precision is evaluated over pedestrian and vehicle routes within city canyons using different combinations of GNSS constellations. The results show that using GPS and GLONASS together cannot guarantee 24-hour reliable positioning in urban canyons. However, with the addition of Galileo and Compass, currently under construction, reliable GNSS performance can be obtained at most, but not all, of the locations in the test scenarios. The modelling also demonstrates that GNSS availability is poorer for pedestrians than for vehicles and verifies that cross-street positioning errors are typically larger than along-street due to the geometrical constraints imposed by the buildings. For many applications, this modelling technique could also be used to predict the best route through a city at a given time, or the best time to perform GNSS positioning at a given location.

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Section: Introductionmentioning

confidence: 99%

Multi-Constellation GNSS Performance Evaluation for Urban Canyons Using Large Virtual Reality City Models

2012

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“…Besides, the use of such signals in classical reception methods is unavoidable, since the number of available signals, which are then confined to a single constellation, is limited. The design of MC/MF-GNSS software and hardware defined receivers brings considerable advantages to Position Velocity and Time (PVT) calculator that can be summarized as follows [49], [50]:…”

Section: Principle Of the Proposed Methodsmentioning

confidence: 99%

GNSS Signals Acquisition and Tracking in Unfavorable Environment

Chebir¹,

Aidel²,

Rouabah³

et al. 2018

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“…For that, we assume an ideal scenario where the CIH achieves a 100% accuracy when labeling an MT and determine optimal policies for different values of T . Then, we evaluate the performance gain of these policies in a real scenario where the time elapsed since the CIH labels an MT until the handover actually occurs is modeled by a normal distribution of mean T and standard deviation T ·CV , being CV the coefficient of variation 1 . Note that for a normal distribution N μ, σ 2 the fraction of samples in the interval [μ − σ , μ + σ ] is approximately 0.68.…”

Section: Sensitivity Of the Optimum Anticipation Time Against System mentioning

confidence: 99%

“…Given that the current market trend is to integrate positioning systems in the MTs to provide location services, the mobile network operators can exploit this new functionality to predict the occurrence of handovers and improve the performance of the network. An integrated GPS-GLONASSGalileo receiver will provide location services simultaneously from multiple satellites, substantially improving the accuracy, particularly in urban areas [1]. Two additional factors are creating increasing interest in handover prediction.…”

Section: Introductionmentioning

confidence: 99%

Robustness of optimal channel reservation using handover prediction in multiservice wireless networks

2012

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, JM.; Pla, V. (2012). Robustness of optimal channel reservation using handover prediction in multiservice wireless networks. Wireless Networks. 18(6):621-633. doi:10.1007/s11276-012-0423-6. Wireless Networks manuscript No.(will be inserted by the editor) Robustness of optimal channel reservation using handover prediction in multiservice wireless networks Jorge Martinez-Bauset · Jose Manuel Gimenez-Guzman · Vicent Pla 2011Abstract The aim of our study is to obtain theoretical limits for the gain that can be expected when using handover prediction and to determine the sensitivity of the system performance against different parameters. We apply an averagereward reinforcement learning (RL) approach based on afterstates to the design of optimal admission control policies in mobile multimedia cellular networks where predictive information related to the occurrence of future handovers is available.We consider a type of predictor that labels active mobile terminals in the cell neighborhood a fixed amount of time before handovers are predicted to occur, which we call the anticipation time. The admission controller exploits this information to reserve resources efficiently. We show that there exists an optimum value for the anticipation time at which the highest performance gain is obtained. Although the optimum anticipation time depends on system parameters, we find that its value changes very little when the system parameters vary within a reasonable range. We also find that, in terms of system performance, deploying prediction is always advantageous when compared to a system without prediction, even when the system parameters are estimated with poor precision.

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Potential Benefits of GPS/GLONASS/GALILEO Integration in an Urban Canyon – Hong Kong

Cited by 46 publications

References 8 publications

Multi-Constellation GNSS Performance Evaluation for Urban Canyons Using Large Virtual Reality City Models

Multi-Constellation GNSS Performance Evaluation for Urban Canyons Using Large Virtual Reality City Models

GNSS Signals Acquisition and Tracking in Unfavorable Environment

Robustness of optimal channel reservation using handover prediction in multiservice wireless networks

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