四象限探测器基于高斯分布的激光光斑中心定位算法

发布时间：2018-07-10 08:10

本文选题：四象限探测器 + 光斑中心　；参考：《红外与激光工程》2017年02期

【摘要】：为了提高四象限探测器在FPGA中实时激光光斑位置测量的精度,提出了一种基于高斯分布的光斑中心定位算法。首先,四象限探测器光敏面上分布的激光光斑采用高斯分布模型等效。结合探测器的工作原理,合理设置高斯积分区间,计算出呈高斯分布的光斑在探测器各象限内的光能量,从而对应各象限输出的光电流,得到包含光斑位置信息的正态分布关系式。再通过标准正态分布表查询快速求解出光斑中心位置,将算法在硬件上实时地实现。最后,分别对基于高斯分布的定位算法和基于圆模型的传统算法进行仿真与实验验证。结果表明,基于高斯分布的定位算法的测量精度相较于传统算法提高了43.8%。由此证明基于高斯分布的定位算法能有效提高激光光斑中心位置测量精度。
[Abstract]:In order to improve the accuracy of real-time laser spot location measurement of four-quadrant detector in FPGA, a new algorithm based on Gao Si distribution is proposed to locate the spot center. First, the laser spot distribution on the Guang Min surface of the four-quadrant detector is equivalent to that of the Gao Si distribution model. Combined with the working principle of the detector, the Gao Si integral interval is reasonably set, and the light energy of the spot distributed in Gao Si in each quadrant of the detector is calculated, which corresponds to the output photocurrent of each quadrant. A normal distribution formula containing spot location information is obtained. Then, the location of the spot center is solved quickly by the standard normal distribution table query, and the algorithm is implemented in real time on hardware. Finally, the localization algorithm based on Gao Si distribution and the traditional algorithm based on circular model are simulated and verified by experiments. The results show that the measurement accuracy of the localization algorithm based on Gao Si distribution is 43.8% higher than that of the traditional algorithm. It is proved that the location algorithm based on Gao Si distribution can effectively improve the accuracy of laser spot center position measurement.
【作者单位】：南京理工大学电子工程与光电技术学院;
【基金】：江苏省自然科学基金(BK20130769)
【分类号】：TN249

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