A Novel Integrated Model for Positioning Indoor MISO VLC Exploiting Non-Light-of-Sight Communication

Abstract

Visible light communication (VLC) has increasingly been an on-trend research area. Base on VLC, practical positioning solutions are provided. This work proposes a combination between a triangulation-based RSS and NLOS-based fingerprinting that estimates the object position in case of two transmitter blockages in a 4x1 multiple-input single-output (MISO) VLC system. A triangulation-based RSS is applied to obtain the potential location of the object. Then, the NLOS-based fingerprinting model determines the current of object location base on matching RSS of potential positions to offline reference data. The offline reference data is previously stored by calculating the received power from reflected light. This proposed solution is verified and evaluated through simulation.