Error Compensation in Indoor Positioning Systems based on Software Defined Visible Light Communication

Abstract : Visible Light Communication (VLC) paradigm allows the reusing of existing illuminating infrastructures in order to provide data communication. VLC can be considered a promising technology also for positioning in indoor environments, due to its potentially high accuracy and low costs. However, the main obstacle to the use of VLC for localization purposes is the high level of environmental noises, mainly due to sunlight. A novel approach, for easily measuring environmental noises and compensating their effects on localization results performed by an Indoor Positioning System (IPS) based on VLC, is proposed in this work. Frequency Division Multiplexing (FDM) is adopted to divide the total bandwidth into a series of non-overlapping frequency sub-bands corresponding to each signal, while an estimation of Signal to Noise Ratio (SNR), obtained through real time Power Spectral Density measurements in the proper frequency ranges, is exploited to compensate the error in positioning due to sunlight and other wide-band external optical disturbing signals. The proposed approach has been validated through experimental tests, carried out using a simple deployment of low power lamps, low cost hardware and a software defined approach. In the region under test, receiver position has been experimentally detected with higher accuracy in comparison to classical FDM approach, confirming the correctness and effectiveness of our proposed technique. In order to further validate the proposed approach, an additive measurement campaign has been successfully carried out considering a scenario characterized by very low SNR levels.
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Contributor : Antonio Costanzo <>
Submitted on : Tuesday, April 2, 2019 - 10:29:19 AM
Last modification on : Thursday, May 2, 2019 - 10:57:37 AM


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  • HAL Id : hal-02087506, version 1



Antonio Costanzo, Valeria Loscri. Error Compensation in Indoor Positioning Systems based on Software Defined Visible Light Communication. Physical Communication, Elsevier, 2019. ⟨hal-02087506⟩



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