TY - GEN
T1 - Filtering Visible Light Reflections with a Single-Pixel Photodetector
AU - Galisteo, Ander
AU - Marcocci, Patrizio
AU - Zuñiga , Marco
AU - Mucchi, Lorenzo
AU - Guzman, Borja Genoves
AU - Giustiniano, Domenico
PY - 2020
Y1 - 2020
N2 - Light-based positioning systems (LPS) are gaining significant attention as a means to provide localization with cm accuracy. Many of these systems estimate the object position based on the received light intensity, and work properly in 'ideal' environments such as large open spaces without obstructions around the light-emitting diode (LED) and the receiver, where reflections are negligible. In more dynamic environments, such as indoor spaces with moving people and city roads with moving vehicles, materials cause a wide variety of reflections. This causes variations in the received light intensity and, as a consequence, gross localization errors in LPS. We propose a new multipath detection technique for improving LPS that does not require the knowledge of the channel impulse response and then, it is suited to be implemented in low-cost positioning receivers that use a single-pixel photodetector. To develop our technique, we (i) analyze the statistical properties of non-line-of-sight (NLOS) components, (ii) develop an automated testbed to study the reflections of different types of surfaces and materials, and (iii) design an algorithm to remove the NLOS components affecting the positioning estimate. Our experimental evaluation shows that, in complex environments, our methodology can reduce the localization error using LEDs up to 93%.
AB - Light-based positioning systems (LPS) are gaining significant attention as a means to provide localization with cm accuracy. Many of these systems estimate the object position based on the received light intensity, and work properly in 'ideal' environments such as large open spaces without obstructions around the light-emitting diode (LED) and the receiver, where reflections are negligible. In more dynamic environments, such as indoor spaces with moving people and city roads with moving vehicles, materials cause a wide variety of reflections. This causes variations in the received light intensity and, as a consequence, gross localization errors in LPS. We propose a new multipath detection technique for improving LPS that does not require the knowledge of the channel impulse response and then, it is suited to be implemented in low-cost positioning receivers that use a single-pixel photodetector. To develop our technique, we (i) analyze the statistical properties of non-line-of-sight (NLOS) components, (ii) develop an automated testbed to study the reflections of different types of surfaces and materials, and (iii) design an algorithm to remove the NLOS components affecting the positioning estimate. Our experimental evaluation shows that, in complex environments, our methodology can reduce the localization error using LEDs up to 93%.
KW - Experiments
KW - Localization
KW - Reflections
KW - Visible Light Communication
UR - http://www.scopus.com/inward/record.url?scp=85091961964&partnerID=8YFLogxK
U2 - 10.1109/SECON48991.2020.9158414
DO - 10.1109/SECON48991.2020.9158414
M3 - Conference contribution
SN - 978-1-7281-6631-5
T3 - Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
BT - 2020 17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020
PB - IEEE
CY - Danvers
T2 - 17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020
Y2 - 22 June 2020 through 25 June 2020
ER -