Yasser L. Morgan
ABSTRACT
In this research we focus on developing positioning scheme based on short-range wireless signals. To achieve that, we develop a system assuming the availability of multiple fixed access points (5+) and employ Time-of-Arrival (ToA) with Kalman Filter. We also discuss multi/tri-lateration and evaluate some of the root causes for Dilution of Precision (DoP) of calculated positioning.
In this article, we present a Simple Fuzzy Clustering Approach (SFCA) aimed at supporting short-range positioning. We use fixed calibrated 2.4 GHz access points. We use real-time observed data while applying our model off-line. We extended the model to mimic the 5.9 GHz Dedicated Short Range Communications (DSRC) signals as defined in IEEE 1609.x. Results are compared in each case and compared to accurately calibrated Differential Global Positioning System (DGPS) record captured on the same testing. We maintained clear Line-of-Sight (LoS) throughout our evaluation and used low speed of the moving vehicles (< 60 Km/h). We present two distinct alternatives to implementing the SFCA, we compare both and analyze.1
- Manandhar, D., Honda, K. and Murai, S. Accuracy assessment and improvement for level survey using real time kinematic (RTK) GPS 1999.Google Scholar
- L. MicóCorresponding, J. Oncina and R. C. Carrasco, A fast branch & bound nearest neighbour classifier in metric spaces, in Pattern Recognition Letters, vol. 17, issue 7, June 1996, pp. 731--739. Google ScholarDigital Library
- P. Yina and L. Chen, A new non-iterative approach for clustering, in Pattern Recognition Letters, vol. 15, issue 2, February 1994, pp. 125--133. Google ScholarDigital Library
- P. Wang, X. Zhao, L. Wan, and M. Cai, A Hybrid Cluster Analysis Method Based on GA and FCM for Automatically Identifying Joint Sets, in the Journal of University of Science and Technology Beijing. vol. 26, no. 3, June 2004, pp. 227--232.Google Scholar
- A. Amir, and M. Lindenbaum, A generic grouping algorithm and its quantitative analysis, in the IEEE transaction on Pattern Analysis and Machine Intelligence, vol. 20, issue 2, June 1998, pp. 168--185. Google ScholarDigital Library
- Kamewaka, S., Uemura, S. A magnetic guidance method for automated guided vehicles 1987Google Scholar
- Jie Du, Barth, M. J. Next-Generation Automated Vehicle Location Systems: Positioning at the Lane Level 2008Google Scholar
- H. G. Xu, C. X. Wang, R. Q. Yang and M. Yang, Extended Kalman Filter Based Magnetic Guidance for Intelligent Vehicles, Intelligent Vehicles Symposium 2006, June-2006, Tokyo, Japan.Google ScholarCross Ref
- P. Santos, S. Hole, C. Filloy and D. Fournier, Magnetic vehicle guidance, Emerald Group Publishing Limited, pp: 132--135, vol. 28, issue 2, 2008.Google ScholarCross Ref
- D. Manandhar', K. Honda' and S. Murai, Accuracy Assessment and Improvement for Level Survey using Real Time Kinematic (RTK) GPS, in the proceedings of the IEEE International Geosciences and Remote Sensing Symposium, IGARSS '99, pp: 882--885, vol: 2, Hamburg-Germany.Google Scholar
- Drane, C., Macnaughtan, M. and Scott, C. Positioning GSM telephones 1998Google Scholar
- Fontana, R. J., Ultra Wideband Precision Geolocation System, US Patent US006054950, Assigned to Multispectral Solutions Inc. April 2000.Google Scholar
- Fontana, R. J., Experimental Results from an Ultra Wideband Precision Geolocation System, Ultrawideband, Short Pulse Electromagnetic 5. Edited by P. D. Smith and S. R. Cloude, Kluwer Academic /Plenum Publisher, pp 215--223.Google Scholar
- Guolin Sun, Jie Chen, Wei Guo and Liu, K. J. R. Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs 2005.Google Scholar
- A. Celikyilmaz, I. B. Turksen, Uncertainty Modeling of Improved Fuzzy Functions With Evolutionary Systems, in the IEEE Transactions on Systems, Man, and Cybernetics, Part B, vol. 38, issue 4, 2008, pp. 1098--1110.d Google ScholarDigital Library
- T. M. Nogueira, and H. de Arruda Camargo, A Fuzzy Rules Generation using Conditional Clustering, IEEE Latin America Transactions, vol. 7 issue 4, 2009, pp. 463--471.Google ScholarCross Ref
- G. Chrysanthakopoulos, W. L. J. Fox, R. T. Miyamoto, R. J. Marks, M. A. El-Sharkawi, and M. Healy, A fuzzy-logic autonomous agent applied as a supervisory controller in a simulated environment, in the IEEE Transactions on Fuzzy Systems, vol. 12, issue 1, 2004, pp. 107--122. Google ScholarDigital Library
- H. Imai, A. Tanaka, M. Miyakoshi, A method of identifying influential data in fuzzy clustering, in the IEEE Transactions on Fuzzy Systems, vol. 6, issue 1, 1998, pp. 90--101. Google ScholarDigital Library
- A. Roy, and R. Leiva, Classification rules for multi-level multivariat data in the IEEE 2nd Intl' conference on Innovative Computing Information and Control, ICICIC'07, 2007. Google ScholarDigital Library
- G. Huang, Q. Zhua and C. Siew, Extreme learning machine: Theory and applications, in the Journal for Neurocomputing, vol. 70, issues 1-3, Dec. 2006, pp. 489--501.Google Scholar
- Sasiadek, J. Z., Wang, Q. Sensor fusion based on fuzzy Kalman filtering for autonomous robot vehicle 1999.Google Scholar
- J. Rueger, Electronic distance measurement, 3rd edition, Springer-Verlag, ISBN: 3-540-51523-2, 1998.Google Scholar
- Lee, H. B. Accuracy of Range-Range and Range-Sum Multilateration Systems 1975Google Scholar
- A. Savvides, H. Park and M. B. Srivastave, The n-Hop Multilateration Primitive for Node Localization Problems, Kluwer Academic Publishers, Netherlands, 2003.Google Scholar
- M. Amann, st al, Laser ranging: a critical review of usual techniques for distance measurement, Society of photo-optical instrumentation ehgineers, vol: 40, num. 1, pp: 10--19.Google Scholar
- Hohman, D., Murdock, T., Westerfield, E., Hattox, T. and Kusterer, T. GPS roadside integrated precision positioning system 2000Google Scholar
- V Kukshya, H. Krishnan and C. Kellum, Performance Evaluation of a System for Estimating Relative Positions of Vehicles During GPS Outages, Intelligent Vehicles Symposium 2006, June-2006, Tokyo, Japan.Google ScholarCross Ref
- Y. Morgan, Accurate Positioning Using Short-Range Communications, the IEEE International Conference on Ultra Modern Communications, IEEE-IC-UMC-09, Saint-Petersburg Russia, (IC-UMC'09), October 2009.Google Scholar
- Y. Morgan, Notes on DSRC and WAVE Standards Suite, Its Architecture, Design, and Characteristics, in the IEEE-JCST, vol. 12, no. 4, September 2010. Google ScholarDigital Library
Index Terms
- A simple fuzzy clustering approach (SFCA) for supporting for short-range positioning
Recommendations
Performance of DSRC and WIFI for Intelligent Transport Systems in VANET
The number of people killed in traffic accidents in Morocco reached 3593 during 2016, compared to 3565 in 2015, registering a slight increase of 0.79%. Thus, the total of traffic accidents over the past year amounted to 81827 against 78864 in 2015, an ...
Optimization of Kalman Filter Indoor Positioning Method Fusing WiFi and PDR
Human Centered ComputingAbstractWith the increase of people’s work activities indoors, indoor positioning technology has become a hot spot in the field of positioning technology. The current mainstream indoor positioning includes WiFi, infrared, Bluetooth, ultra-wideband, ZigBee,...
Virtual WiFi network database construction for positioning services
CFI '09: Proceedings of the 4th International Conference on Future Internet TechnologiesWiFi-based location based services (LBSs) are expected to be more and more pervasive in future Internet. In WiFi networks, a virtual network database (VNDB), which maintains the estimated locations of access points (APs), should be constructed for the ...
Comments