基于光反馈自混合干涉效应波形转折点的智能识别  

Intelligent Identifying the Turning Point of Waveforms Based on the Optical Feedback Self-Mixing Effect

作　　者：郭常盈[1] 禹延光[2] 

机构地区：[1]南阳理工学院计算机科学与技术系,河南南阳473004 [2]郑州大学信息工程学院,河南郑州450052

出　　处：《光学与光电技术》2008年第4期14-17,共4页Optics & Optoelectronic Technology

基　　金：国家自然科学基金(60574098)资助项目

摘　　要：对光反馈自混合干涉信号波形转折点的智能识别进行了理论分析和实验研究。首先经对光反馈自混合干涉信号特点的分析,发现其波形转折点可以作为外部物体运动位移实时测量的依据。通过对信号波形的逐步处理可以获得波形转折点的位置,以此为基准点可以实现位移的精测。实验测试结果同理论分析吻合较好。若系统进入较复杂状态,识别出的位置与其实际位置出现偏差,不再是单一值,可以对转折点位置的所有值取平均,从而得到其对应的精确位置。The theory and experiment of optical feed back self-mixing interference signal turning points are researched. Firstly, by the analysis of the self-mixing signal waveforms, we discover that the turning points of self-mixing interference can be as the displacement measurement basis of external target. We find that they can be properply identified by gradually processing the waveforms and the precision measurement of displacement can be implemented based on them. Experimental results are agreement with theoretical conclusions. When there is the deviation between the identifying position and the actual position under the very complicated condition of the self-mixing interference system, we can derive the accurate position by averaging them.

关 键 词：半导体激光器 光反馈 自混合干涉 转折点 智能识别 

分 类 号：TN248.4[电子电信—物理电子学]