6533b828fe1ef96bd128960f

RESEARCH PRODUCT

On improving the accuracy of Visible Light Positioning system using deep autoencoder

El-hassane AglzimAndrei Vladimirescu

subject

[SPI]Engineering Sciences [physics]selectedmapping (SLM)[SPI] Engineering Sciences [physics]DC-biased optical orthogonal frequency division multiplex-ing (DCO-OFDM)Visible Light Positioning(VLP)VisibleLight Communication(VLC)Localiza-tionpeak-to-average power ratio (PAPR)5GReceived Signal Strength

description

International audience; DC-biased optical Orthogonal Frequency DivisionMultiplexing (DCO-OFDM)-based visible light positioning (VLP)technology along with the Received Signal Strength(RSS) po-sitioning algorithm is widely used to achieve centimeter levelpositioning accuracy for incoming 5G era, especially indoorenvironment. However, the DCO-OFDM has the peak-to-averagepower ratio (PAPR) issue which imposes the nonlinear distortionand it will directly affect the positioning accuracy in the VLPsystem. The PAPR reduction scheme is urgently needed. There-fore, in this paper, the impact of PAPR reduction scheme onpositioning accuracy is investigated. The positioning accuracywith and without the selected mapping (SLM)-based PAPRreduction method are compared. The preliminary simulationresults show that the positioning accuracy has been improvedby 7.07 cm after using the SLM-based PAPR reduction method.

yearjournalcountryeditionlanguage
2020-04-01
https://hal.archives-ouvertes.fr/hal-02879671