Basic study on indoor location estimation using Visible Light Communication platform

Abstract

A VLC (Visible Light Communication) system using fluorescent lights has been developed for indoor guidance of the visually impaired. While it is relatively straightforward to provide generalized location information for a blind user, precise location information is much more difficult to determine. We propose that the effective data reception range and the receiver's precise location can be calculated using measured sensor angles. A series of experiments have been performed in a practical platform with 22 fluorescent lights, 39 measuring points (MP). The average distance error could reach as low as 10 cm. This development will provide greater accuracy and therefore less stress for blind users.

A new location system for an underground mining environment using visible light communications

“…From (12) we know that the coordinate x is either X 1 or X 2 . To fully obtain the x coordinate, we follow the same procedure, but subtract (3) from (1).…”

Optical Boundaries for LED-Based Indoor Positioning System

“…Proximity [9] 1-2 m Low Mobile phone [16] m Medium Exp-Setup, dsPIC Board [12] 4.5 m Medium MSP 430 [17] 0.01-0.48 m Low [18] 0.3-0.6 m Medium [19] 0.4 m Medium Exp-Setup, RF, LED Fingerprinting [20] 5 cm Low Exp-Setup + E4832A [21] 10 cm Medium [22] 10 cm Low [10] 15-20 cm Medium Exp-Setup, Covered [23] 10 cm Medium [24] 85 cm Medium [25] 1-2 cm Medium [26] 20-80 cm Low [27] 1.69 cm Medium [28] 7 cm Low [29] 5 cm Medium Camera, Robot [30] 5 cm High Exp-Setup [31] 1.3 cm High Exp-Setup, mobile robot [32] 10 cm Medium [33] 10 cm Medium TDoA [34] 2-5 cm High [35] 1 cm High [36] 3.9 cm Medium [37] 0.3 cm Medium [38] 2 cm High [6] -cm AoA [11] 1-2 m Medium Exp-Setup, 5331 APD [39] 0.3 m Medium Mobile phone [40] 5-30 cm High [41] 10 cm High Tripod, protractor, PC [42] 8 cm High [43] 5 cm Medium Table 1. Cont.…”

Impact of Multipath Reflections on the Performance of Indoor Visible Light Positioning Systems

“…Features of each location are collected as the fingerprints in the offline stage. In the online stage, the features of current location are measured and by matching those with offline fingerprints, location of receiver is estimated [11]. In this paper, we employ a commonly used algorithm where the RSS information is first detected by a PD, and then distance between transmitter and receiver is calculated.…”