Source localization using block-based Wiener filter

Park, Chee‐Hyun; Hong, Kwang-Seok

doi:10.1587/elex.7.678

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…WLS adds a matrix of weight W to Equation 34 to obtain: x = (A T WA) −1 A T Wb. Though different weighting options are avilable, this work limits itself to singular value decomposition (outlined in [459]).…”

Section: ) Proximitymentioning

confidence: 99%

Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial

Bastiaens,

Alijani,

Joseph

et al. 2024

IEEE Commun. Surv. Tutorials

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Indoor positioning technology has become undisputedly pervasive in modern society. It can be used for numerous applications in various environments, ranging from agriculture to smart industry. Among the different indoor positioning technologies, the development of the indoor visible light positioning (VLP) system has gained momentum recently thanks to its low cost and centimetre-order accuracy. Moreover, VLP is a promising candidate technology for integration with Light Fidelity (Li-Fi), which relies on the optical spectrum to build future wireless networks and plays a significant role in sixth-generation (6G) wireless networks. This tutorial investigates VLP as a novel positioning technology in depth. The inherent characteristics and fundamentals of this technology are extensively described with the components of a VLP system and possible localization approaches being discussed. Furthermore, a mathematical and technical discussion of a simple minimum retrofit of the single photodiode (PD) received signal strength (RSS) VLP systems is provided. Finally, the paper concludes with open challenges and a future roadmap for VLP.

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Section: ) Proximitymentioning

confidence: 99%