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Although the Triangulation method and Proximity method are easy to use, it is difficult to consider the reflection and attenuation of radio waves in the estimated area. It is challenging to perform highly accurate positioning.
On the other hand, the Fingerprint method uses data observed in advance at any point in the estimation area, so it is possible to perform estimation considering reflection and attenuation.
However, with the Fingerprint method, the estimated position to be output is the point measured in advance, so detailed estimation is not possible.
The purpose of this study is to improve the indoor positioning accuracy by learning the model from the data set collected in advance by using the deep learning technique. |
IEEE/ICACT20210173 Slide.03
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