Visible Light Positioning and Navigation with Noise Mitigation Using Allan Variance

Visible Light Positioning (VLP) has become an essential candidate for high-accurate positioning; however, its positioning accuracy is usually degraded by the noise in the VLP system. To solve this problem, a novel scheme of noise measurement and mitigation is proposed for VLPbased on the noise measurement from Allan Varianceand the noise mitigation from positioning algorithms such asAdaptive Least Squares (ALSQ)andExtended Kalman Filter (EKF). In this scheme, Allan Varianceis introduced for noise analysis in VLPfor the first time, which provides an efficient method for measuring the white noise in the VLPsystems. Meanwhile, we evaluate our noise reduction method under static testusing ALSQ and dynamic test using EKF. Furthermore, this article carefully discusses the relationship between positioning accuracy and Dilution of Precision (DOP) values. The preliminary field static tests demonstrate that the proposed scheme improves thepositioning accuracy by 16.5% and achieves the accuracy of 137mmwhile dynamic tests show an improvement of 60.4% and achieve the mean positioning accuracyof 153 mm

Visible light positioning systems under imperfect synchronization and signal-dependant noise

Optical Wireless Communication (OWC) is an enabling technology for sixth-generation (6G) and beyond communication networks. Visible light communication (VLC) is a crucial branch of OWC technology expected to meet 6G communication system requirements. The VLC system can facilitate multiple functionalities simultaneously including illumination, ultra-high data rate communications, positioning such as location and navigation services. In VLC systems, a light-emitting diode (LED) functions as a transmitter. A photodetector or imaging sensor acts as a receiver and the visible light is used as the transmission medium. Researchers have shown a great deal of interest in VLC based positing and localization techniques, as visible light positioning (VLP) systems have shown better localization accuracy than radio frequency (RF) based positioning or global positioning system (GPS). This thesis considers the problem of position estimation accuracy in VLC systems in the presence of signal-dependent shot noise (SDSN). We investigate distance and 3D position estimation approaches in different scenarios, focusing on error estimation performance bounds. Additionally, this work attempts to resolve the synchronization problem found in VLP systems