为解决可见光隐式成像通信中收发两端不同步的问题, 分析了显示屏与相机链路间的特性, 将收发端不同步问题总结为丢帧和混合帧问题。针对丢帧和混合帧问题, 建立了合理的接收帧数学模型。从该模型出发, 分析差异帧绝对值的空间均值特性, 提出丢帧检测算法; 分析差异帧绝对值的行均值特性和差异帧行方差特性, 提出混合帧模糊区域检测算法。仿真和实验结果表明, 提出的帧同步补偿算法能够有效解决丢帧和混合帧问题, 达到了良好的帧同步效果, 改善了系统误码性能, 实现隐式信息的可靠传输。

To solve the unsynchronized problem between the transmitter end and the receiver end in visible light implicit imaging communication, we analyze the characteristics of display camera link, and summarize the unsynchronized problems as frame loss and frame fusion. Aiming at the frame loss and frame fusion, we establish a reasonable mathematical model for received frames. Based on the model, a frame loss detecting algorithm is proposed by analysis of spatial mean characteristics of difference frame absolute values, and a frame fusion fuzzy region detecting algorithm is proposed by utilization of row mean characteristics of difference frame absolute values and row variance characteristics of difference frames. The simulation and experimental results show that the proposed frame synchronization compensation algorithms can solve the frame loss and frame fusion effectively, achieve good frame synchronization effect, improve system bit error rate performance, and complete reliable transmission of implicit information.