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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 6, issue 2
J. Sens. Sens. Syst., 6, 375-380, 2017
https://doi.org/10.5194/jsss-6-375-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
J. Sens. Sens. Syst., 6, 375-380, 2017
https://doi.org/10.5194/jsss-6-375-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular research article 20 Nov 2017

Regular research article | 20 Nov 2017

Indoor localization: novel RSSI approach based on analytical solution and two receivers

Ahmad Warda1, Bojana Petković2, and Hannes Töpfer1 Ahmad Warda et al.
  • 1Institute for Information Technology, Technische Universität Ilmenau, Ilmenau, Germany
  • 2Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Ilmenau, Germany

Abstract. Indoor localization based on trilateration method uses at least three receivers for an accurate localization in 2-D. We performed indoor localization in 2-D using only two receivers, combining algebraic equations for signal strengths into one quadratic equation with transmitter position as unknown and using a specific receiver placement at the two adjacent corners of the room. This receiver arrangement assures unique coordinates of the transmitter position inside a room, rejecting automatically the other solution which appears outside the room volume. The accuracy of the method is numerically tested in a room with dimensions of 9.7 m × 4.7 m × 3m and shows a mean reconstruction error of 3.4cm.

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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.
The paper introduces a novel method for 2-D localization of a target in the indoor environment...
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