红外与激光工程, 2016, 45 (7): 0717001, 网络出版: 2016-08-18   

高精度近红外光斑位置检测模型研究

High precision spot position detection model for the near infrared light
作者单位
1 中国科学院长春光学精密机械与物理研究所, 吉林 长春 130033
2 中国科学院大学, 北京 100049
摘要
为了提高1 550 nm近红外波段光斑位置的检测精度, 提出了一种改进的积分无穷解算模型。以高斯光斑为入射光模型, 深入分析了InGaAs四象限探测器(Quadrant Detector, QD)输出信号与光斑实际位置之间的关系, 考虑探测器直径及沟道的影响, 通过引入误差补偿因子, 利用最小二乘拟合的方法得到有效光斑半径, 从而获得新解算模型的解析表达式, 最后在搭建的InGaAs QD光斑位置检测系统上对提出模型进行实验验证。仿真和实验结果表明: 新模型可有效降低不同半径光斑下的位置检测误差; 入射光总能量约为10 μW, 光斑半径0.75 mm时, 在[-0.75~0.75 mm]检测范围内, 新模型均方根误差为0.003 mm, 最大误差为0.009 mm,较原有模型分别降低了78.6%和52.6%。新模型在激光通信和激光雷达等工程实际中具有较好的应用前景。
Abstract
In order to improve the spot position detection accuracy for 1 550 nm near infrared band, an innovative infinite integral model was proposed. At first, the relationship between InGaAs four-quadrant detector(QD) output signal and the spot real position was deeply analyzed where the laser spot energy displayed a Gaussian profile. By taking into account the error effects of detector diameter and gap size, and introducing the position error compensation factor, an effective spot radius was obtained with a best fit using the least square method, and then a new analytical expression was proposed. Finally, the experiment was made for verifying the performance of our new model in the established InGaAs QD spot detection system. The results of simulation and experiment show that the new model could effectively reduce the spot position detection error for different radii; when the total energy of incident light is about 10 μW, the beam radius is 0.75 mm, in the detection range of [-0.75-0.75 mm], the root-mean-square error of 0.003 mm and the maximum position error of 0.009 mm with the new model, are reduced 78.6% and 52.6% than the original model, respectively. Therefore, the new model would have a good prospect in the engineering practice of laser communication or laser radar.

吴佳彬, 陈云善, 高世杰, 吴志勇. 高精度近红外光斑位置检测模型研究[J]. 红外与激光工程, 2016, 45(7): 0717001. Wu Jiabin, Chen Yunshan, Gao Shijie, Wu Zhiyong. High precision spot position detection model for the near infrared light[J]. Infrared and Laser Engineering, 2016, 45(7): 0717001.

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