Decoding algorithm with multiple features based on optical camera communication system
Decoding algorithm with multiple features based on optical camera communication system作者机构:Department of Communications EngineeringJilin UniversityChangchun 130012China
出 版 物:《Optoelectronics Letters》 (光电子快报(英文版))
年 卷 期:2023年第19卷第2期
页 面:65-71页
核心收录:
基 金:supported by the Department of Science and Technology of Jilin Province (No.20200401122GX)
主 题:Decoding algorithm multiple features camera communication system
摘 要:The performance of decoding algorithm is one of the important influential factors to determine the communication quality of optical camera communication(OCC) system. In this paper, we first propose a decoding algorithm with adaptive thresholding based on the captured pixel values under an ideal environment, and then we further propose a decoding algorithm with multiple features, which is more suitable under the existence of the interference of light sources. The algorithm firstly determines the light-emitting diode(LED) array profile information by removing the interfering light sources through geometric features, and then identifies the LED state by calculating two grayscale features, the average gray ratio(AGR) and the gradient radial inwardness(GRI) of the LEDs, and finally obtains the LED state matrix. The experimental results show that the bit error ratio(BER) of the decoding algorithm with multiple features decreases from 1×10^(-2) to 5×10^(-4) at 80 m.