Signal Detection and Identification in an Optical Camera Communication System in Moving State

Abstract

Visible Light Communication (VLC) technology uses light-emitting diodes (LEDs) as a signal transmitting source to simultaneously realize lighting and data communication, and the spectrum resources are abundant. Since the visible light communication system with a photodiode (PD) as the receiver has some weaknesses, such as narrow field of view (FOV), inaccurate alignment in moving state, and inadaptability for indoor communication environments, an optical camera communication (OCC) system based on target detection algorithm is proposed in this paper. The system applies a LED array mounted on a moving AGV (automated guided vehicle) as the signal transmitter and a CCD camera as the receiver to realize data transmission in an outdoor environment. In this paper, a VLC MIMO channel model is constructed to verify that simultaneous communication of multiple LEDs through MIMO channels can effectively reduce bit error rate. The designed OCC system utilizes an image processing algorithm based on target detection to detect and identify light signals, realizing relatively stable and reliable communication in the state of motion. The distance from the signal transmitter to the receiver ranges from 6m to 14m.