Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/jsss-6-247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular research article
| 
20 Jun 2017
Regular research article |
| 20 Jun 2017
Scanning method for indoor localization using the RSSI approach
Ahmad Warda
CORRESPONDING AUTHOR
Technische Universität Ilmenau, Institute for Information
Technology, Ilmenau, Germany
Bojana Petković
Technische Universität Ilmenau,
Institute of Biomedical Engineering and Informatics, Ilmenau, Germany
Hannes Toepfer
Technische Universität Ilmenau, Institute for Information
Technology, Ilmenau, Germany
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J. Sens. Sens. Syst., 6, 375–380, https://doi.org/10.5194/jsss-6-375-2017, https://doi.org/10.5194/jsss-6-375-2017, 2017
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The paper introduces a novel method for 2-D localization of a target in the indoor environment using the RSSI approach with only two sensors. The proposed method reduces the number of sensors by one compared to the trilateration method, which uses at least three sensors for 2-D localization. The achieved accuracy under the white Gaussian noise condition is about 3.4 cm as an average of all positions inside the considered simulated environment.
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In this article we have investigated how the arbitrary orientation of a passive localization object in a magnetic field affects that field. For that we have identified the two sources of uncertainty, the geometrical extent of the object and the field inhomogeneity, and have quantified their effect analytically. Based on that we have compared the performance of several localization algorithms on that field variation. Results show that a dipole model is sufficient for the localization algorithm.
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Ahmad Warda, Bojana Petković, and Hannes Töpfer
J. Sens. Sens. Syst., 6, 375–380, https://doi.org/10.5194/jsss-6-375-2017, https://doi.org/10.5194/jsss-6-375-2017, 2017
Short summary
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The paper introduces a novel method for 2-D localization of a target in the indoor environment using the RSSI approach with only two sensors. The proposed method reduces the number of sensors by one compared to the trilateration method, which uses at least three sensors for 2-D localization. The achieved accuracy under the white Gaussian noise condition is about 3.4 cm as an average of all positions inside the considered simulated environment.
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W. Minkina and D. Klecha
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H. S. Wasisto, S. Merzsch, E. Uhde, A. Waag, and E. Peiner
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C. Bur, M. Bastuck, A. Schütze, J. Juuti, A. Lloyd Spetz, and M. Andersson
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T. Mazingue, M. Lomello-Tafin, M. Passard, C. Hernandez-Rodriguez, L. Goujon, J.-L. Rousset, F. Morfin, and J.-F. Laithier
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M. Leidinger, T. Sauerwald, W. Reimringer, G. Ventura, and A. Schütze
J. Sens. Sens. Syst., 3, 253–263, https://doi.org/10.5194/jsss-3-253-2014, https://doi.org/10.5194/jsss-3-253-2014, 2014
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M. Bektas, D. Hanft, D. Schönauer-Kamin, T. Stöcker, G. Hagen, and R. Moos
J. Sens. Sens. Syst., 3, 223–229, https://doi.org/10.5194/jsss-3-223-2014, https://doi.org/10.5194/jsss-3-223-2014, 2014
F. P. Pentaris
J. Sens. Sens. Syst., 3, 145–165, https://doi.org/10.5194/jsss-3-145-2014, https://doi.org/10.5194/jsss-3-145-2014, 2014
B. Fabbri, S. Gherardi, A. Giberti, V. Guidi, and C. Malagù
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Cited articles
Atmel: AT86RF230, Atmel, available at: http://www.atmel.com/images/doc5131.pdf (last access: 28 March 2017), 2009.
Berry, M. W. and Kogan, J.: Text Mining: Applications and Theory, Wiley, 2010.
Chakraverty, S.: Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems, IGI Global, 2014.
Farid, Z., Nordin, R., and Ismail, M.: Recent advances in wireless indoor localization techniques and system, Journal of Computer Networks and Communications, 2013.
Garg, V. K.: Wireless Communications & Networking, Elsevier Morgan Kaufmann, 2007.
Hsu, C.-C., Yeh, S.-S., and Hsu, P.-L.: Particle filter design for mobile robot localization based on received signal strength indicator, T. I. Meas. Control, 38, 1311–1319, https://doi.org/10.1177/0142331215586615, 2016.
Huang, X., Fan, J., Wu, M., and Gu, Y.: Indoor Mobile Robot Positioning Based on Wireless Fingerprint Matching, World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10, 1198–1202, 2016.
Kodippili, N. S. and Dias, D.: Integration of fingerprinting and trilateration techniques for improved indoor localization, in: 2010 Seventh International Conference on Wireless and Optical Communications Networks – (WOCN), 1–6, https://doi.org/10.1109/WOCN.2010.5587342, 2010.
Ma, R., Guo, Q., Hu, C., and Xue, J.: An improved WiFi indoor positioning algorithm by weighted fusion, Sensors, 15, 21824–21843, 2015.
Röwekämper, J., Sprunk, C., Tipaldi, G. D., Stachniss, C., Pfaff, P., and Burgard, W.: On the position accuracy of mobile robot localization based on particle filters combined with scan matching, in: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3158–3164, https://doi.org/10.1109/IROS.2012.6385988, 2012.
Shi, Y.: Emerging Research on Swarm Intelligence and Algorithm Optimization, Hershey: IGI Global, 2015.
Yang, Z. and Liu, Y.: Quality of Trilateration: Confidence-Based Iterative Localization, IEEE T. Parall. Distr., 21, 631–640, https://doi.org/10.1109/TPDS.2009.90, 2010.
Zhang, A., Yuan, Y., Wu, Q., Zhu, S., and Deng, J.: Wireless Localization Based on RSSI Fingerprint Feature Vector, Int. J. Distrib. Sens. N., 11, 528–747, https://doi.org/10.1155/2015/528747, 2015.
Zhang, L., Lim, C.-C., Chen, Y., and Karimi, H. R.: Tracking mobile robot in indoor wireless sensor networks, Mathematical Problems in Engineering, 2014.
Short summary
We studied the problem of wireless indoor mobile robot localization and tracking using noise-free data and data with additive white Gaussian noise at three receiver positions. We proposed a new scanning method to overcome the drawbacks of fingerprint, which includes time-consuming construction of a database and its need for rebuilding every time a significant change in the environment occurs.
We studied the problem of wireless indoor mobile robot localization and tracking using...
