Indoor Visible Light Localization Based on Finite State Markov Chain
In the study of indoor visible light localization, the variance of the RSS(Received Signal Strength) distribution will be affected by environmental noise, resulting in a larger range of RSS value fluctuations. A method is proposed to decompose the RSS value into the disturbance component caused by the target and the noise component caused by the environment, and then a linear transfer model based on the finite state Markov chain is used to extract the disturbance component in RSS value. Finally, the DTW(Dynamic Time Warping) algorithm is used to match the real-time disturbance component with the fingerprint database to achieve target positioning.
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Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Posted 12 Jan, 2021
Received 14 Feb, 2021
On 24 Jan, 2021
On 21 Jan, 2021
Invitations sent on 20 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 05 Jan, 2021
Indoor Visible Light Localization Based on Finite State Markov Chain
Posted 12 Jan, 2021
Received 14 Feb, 2021
On 24 Jan, 2021
On 21 Jan, 2021
Invitations sent on 20 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 06 Jan, 2021
On 05 Jan, 2021
In the study of indoor visible light localization, the variance of the RSS(Received Signal Strength) distribution will be affected by environmental noise, resulting in a larger range of RSS value fluctuations. A method is proposed to decompose the RSS value into the disturbance component caused by the target and the noise component caused by the environment, and then a linear transfer model based on the finite state Markov chain is used to extract the disturbance component in RSS value. Finally, the DTW(Dynamic Time Warping) algorithm is used to match the real-time disturbance component with the fingerprint database to achieve target positioning.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.