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Indoor Visible Light Localization Based on Finite State Markov Chain
Jianhua Shao
Nanjing Normal University
Corresponding Author
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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.
Keywords
Indoor visible light localization, Finite Markov chain, Disturbance component
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CURRENT STATUS: Under Review
Version 1
Posted 12 Jan, 2021
No community comments so far
Review #1 received
Received 14 Feb, 2021
Reviewer #2 agreed
On 24 Jan, 2021
Reviewer #1 agreed
On 21 Jan, 2021
Reviewers invited
Invitations sent on 20 Jan, 2021
Editor assigned
On 06 Jan, 2021
Submission checks complete
On 06 Jan, 2021
Editor invited
On 06 Jan, 2021
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On 05 Jan, 2021
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This preprint is under consideration at EURASIP Journal on Advances in Signal Processing. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Indoor Visible Light Localization Based on Finite State Markov Chain
Jianhua Shao
Nanjing Normal University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 12 Jan, 2021
No community comments so far
Review #1 received
Received 14 Feb, 2021
Reviewer #2 agreed
On 24 Jan, 2021
Reviewer #1 agreed
On 21 Jan, 2021
Reviewers invited
Invitations sent on 20 Jan, 2021
Editor assigned
On 06 Jan, 2021
Submission checks complete
On 06 Jan, 2021
Editor invited
On 06 Jan, 2021
First submitted
On 05 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
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.