The Analyzes of PDOP Factors for a Zigbee Ground – Based Augmentation Systems

Abstract This paper presents the analysis of PDOP factors for a ZigBee ground - based augmentation systems. It presents the idea of such a system followed by the results of assessment of application in Gdansk Marina. The results of the experiment show that the application of ZigBee can significantly improve PDOP value in harsh measurement environment. The analysis shows that it is possible to select an optimal location of ground-based transceiver on the basis of predicted trajectory and obstructions measured with laser scanning.

[1]  James B. Y. Tsui,et al.  Fundamentals of global positioning system receivers , 2000 .

[2]  Michał Lupa,et al.  Analysis of Performance and Optimization of Point Cloud Conversion in Spatial Databases , 2016 .

[3]  Jacek Tejchman,et al.  Simulation of buckling process of cylindrical metal silos with flat sheets containing bulk solids , 2015 .

[4]  Joanna Janicka Filtering the results of ZigBee distance measurements with RANSAC algorithm , 2015 .

[5]  Artur Janowski,et al.  Mobile Indicators in GIS and GPS Positioning Accuracy in Cities , 2014, RSEISP.

[6]  Jacek Rapinski,et al.  ZigBee Ranging using Phase Shift Measurements , 2015 .

[7]  J. Górski,et al.  Shells with random geometric imperfections simulation — based approach , 2002 .

[8]  Aleksander Nowak,et al.  Dynamic GNSS Mission Planning Using DTM for Precise Navigation of Autonomous Vehicles , 2016, Journal of Navigation.

[9]  R. Szymkiewicz Finite-element method for the solution of the Saint Venant equations in an open channel network , 1991 .

[10]  G. Sasibhushana Rao,et al.  GPS C/A Code Multipath Error Estimation for Surveying Applications in Urban Canyon , 2016 .

[11]  Jacek Tejchman,et al.  Technical concept to prevent the silo honking , 1999 .

[12]  Ray Y. Zhong,et al.  An Active RFID Tag-Enabled Locating Approach With Multipath Effect Elimination in AGV , 2016, IEEE Transactions on Automation Science and Engineering.

[13]  Rosdiadee Nordin,et al.  A Wireless Sensor Network with Soft Computing Localization Techniques for Track Cycling Applications , 2016, Sensors.

[14]  Tomasz Mikulski,et al.  Effect of geometric imperfections on aluminium silo capacities , 2015 .

[15]  Eric Chatre,et al.  Evolution of the Global Navigation SatelliteSystem (GNSS) , 2008, Proceedings of the IEEE.

[16]  Krzysztof J. Kaliński,et al.  Optimal control of 2-wheeled mobile robot at energy performance index , 2016 .

[17]  Rajdeep Kaur,et al.  Performance Analysis of ZigBee Mesh Networks Under Nodes Failure , 2016 .

[18]  Yunlong Teng,et al.  Some Remarks on PDOP and TDOP for Multi-GNSS Constellations , 2016 .

[19]  Artur Janowski,et al.  M-Split Estimation in Laser Scanning Data Modeling , 2012, Journal of the Indian Society of Remote Sensing.

[20]  Jacek Rapinski The application of ZigBee phase shift measurement in ranging , 2015 .

[21]  Leh Luoh,et al.  ZigBee-based intelligent indoor positioning system soft computing , 2014, Soft Comput..

[22]  Rafal Szlapczynski,et al.  On evolutionary computing in multi-ship trajectory planning , 2011, Applied Intelligence.

[23]  R. Szlapczynski Evolutionary Sets Of Safe Ship Trajectories: A New Approach To Collision Avoidance , 2010, Journal of Navigation.

[24]  Krzysztof J. Kaliński,et al.  HILS for the Design of Three-Wheeled Mobile Platform Motion Surveillance System with a Use of Energy Performance Index , 2013 .

[25]  Kamil Kowalczyk,et al.  ANALYSIS OF VERTICAL MOVEMENTS MODELLING THROUGH VARIOUS INTERPOLATION TECHNIQUES , 2010 .

[26]  G. S. Ritchie,et al.  Great Britain's Contribution to Hydrography During the Nineteenth Century , 1967, Journal of Navigation.

[27]  Zofia RZEPECKA,et al.  Effect of additional distance measurements on satellite positioning , 2013 .

[28]  Krzysztof J. Kaliński,et al.  Optimal control at energy performance index of the mobile robots following dynamically created trajectories , 2016 .