Research on Decoding Algorithm of Target LED Array for OCC System
孙铁刚 1蔡雯 1李志军1
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作者信息
1. 吉林大学通信工程学院,长春 130012
折叠
摘要
针对强日光环境下OCC(Optical Camera Communication)系统接收端解码困难的问题,提出了基于分段式线性灰度变换的Gradient-Harris解码算法.首先搭建一套OCC实验系统,接收端相机采集原始图像,利用标准相关系数匹配方法提取目标LED阵列区域.其次通过分段式线性灰度变换对目标LED阵列区域进行图像增强,利用Gradient-Harris解码算法进行目标LED阵列的形状提取和状态识别.实验结果表明,应用基于分段式线性灰度变换的Gradient-Harris解码算法,强日光环境下OCC实验系统的平均解码速率为128.08 bit/s,平均误码率为4.38 ×10-4,最大通信距离为55 m.
Abstract
Camera is utilized to capture target LED(Light Emitting Diode)image in OCC(Optical Camera Communication)system,the performance degradation of OCC system occurs due to outdoor ambient light interference.The strong sunlight causes great difficulty in decoding at the receiving end of OCC system,in order to solve the problem a Gradient-Harris decoding algorithm based on piecewise linear gray transformation is proposed.A set of OCC experimental system is built,original images are captured by camera at the receiving end of OCC experimental system,and the target LED array region is extracted by standard correlation coefficient matching method.The image of target LED array region is enhanced by segmented linear gray transformation,a Gradient-Harris decoding algorithm is used for shape extraction and state recognition of target LED array.The experimental results show that the proposed Gradient-Harris decoding algorithm based on piecewise linear gray transform is effective for OCC experimental system in strong sunlight environment,the average decoding rate is 128.08 bit/s,the average bit error rate is 4.38 x 10-4,and the maximum communication distance is 55 m.
关键词
可见光相机通信/目标LED阵列/图像增强/Gradient-Harris解码算法
Key words
optical camera communication/target light emitting diode(LED)array/image enhancement/Gradient-Harris decoding algorithm
维普
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