GOPA: Geometrical optics positioning algorithm using spatial color coded LEDs (extended version)

H. Hosseinianfar, A. Chizari, J.A. Salehi

Research output: Working paperPreprintAcademic

12 Downloads (Pure)


In this paper, we propose an accurate visible light indoor localization system for a smartphone using the existing commercial light-emitting diode (LED) luminaries. The proposed technique, called geometrical optics positioning algorithm (GOPA), uses spatial color code landmarks alongside angle of arrival (AOA)-based geometrical algorithm on smartphones to locate the device, and reserves LED's time-frequency domain modulation to increase the throughput of the visible light network broadcast from the same luminaries infrastructure. GOPA algorithm is developed with practical considerations such as flexible hand gesture and handshake, and it enables both positioning robustness and on-device processing. By introducing the idea of virtual plane, field of view (FOV) issue of AOA-based positioning systems is addressed in GOPA. The embedded accelerometer and front-facing camera of the smartphone are used at the receiver side to measure the smartphone inclination and acquire the image. Experimental results show robust two-dimensional (2-D) and three-dimensional (3-D) positioning. The experimental mean positioning error for 2-D positioning is 0.54 cm, in case one ignoring the tilt. The experimental mean positioning errors for 3-D positioning are respectively 1.24 cm, 1.85 cm, and 6.02 cm for ideal non-tilted and non-oriented, non-tilted but orientated, and both tilted and orientated scenarios.
Original languageEnglish
Publication statusPublished - 24 Jun 2018

Publication series
PublisherCornell University


Dive into the research topics of 'GOPA: Geometrical optics positioning algorithm using spatial color coded LEDs (extended version)'. Together they form a unique fingerprint.

Cite this