Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-247-2017
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, Bojana Petković, and Hannes Toepfer

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Latest update: 27 Mar 2024
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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.