Articles | Volume 6, issue 1
J. Sens. Sens. Syst., 6, 247–251, 2017
https://doi.org/10.5194/jsss-6-247-2017
J. Sens. Sens. Syst., 6, 247–251, 2017
https://doi.org/10.5194/jsss-6-247-2017

Regular research article 20 Jun 2017

Regular research article | 20 Jun 2017

Scanning method for indoor localization using the RSSI approach

Ahmad Warda et al.

Data sets

AT86RF230 Atmel http://www.atmel.com/images/doc5131.pdf

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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.