Journal cover Journal topic
Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
J. Sens. Sens. Syst., 6, 247-251, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Regular research article
20 Jun 2017
Scanning method for indoor localization using the RSSI approach
Ahmad Warda1, Bojana Petković2, and Hannes Toepfer1 1Technische Universität Ilmenau, Institute for Information Technology, Ilmenau, Germany
2Technische Universität Ilmenau, Institute of Biomedical Engineering and Informatics, Ilmenau, Germany
Abstract. This paper presents a scanning method for indoor mobile robot localization using the received signal strength indicator (RSSI) approach. The method eliminates the main drawback of the conventional fingerprint, whose database construction is time-consuming and which needs to be rebuilt every time a change in indoor environment occurs. It directly compares the column vectors of a kernel matrix and signal strength vector using the Euclidean distance as a metric. The highest resolution available in localization using a fingerprint is restricted by a resolution of a set of measurements performed prior to localization. In contrast, resolution using the scanning method can be easily changed using a denser grid of potential sources. Although slightly slower than the trilateration method, the scanning method outperforms it in terms of accuracy, and yields a reconstruction error of only 0. 08 m averaged over 1600 considered source points in a room with dimensions 9.7 m × 4.7 m × 3 m. Its localization time of 0. 39 s makes this method suitable for real-time localization and tracking.

Citation: Warda, A., Petković, B., and Toepfer, H.: Scanning method for indoor localization using the RSSI approach, J. Sens. Sens. Syst., 6, 247-251,, 2017.

Publications Copernicus
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...