基于Global Search算法优化近红外测距光学系统

Optimization of near-infrared ranging optics based on Global Search algorithm

  • 摘要: 为实现户外红外测距系统在有限封闭空间内的精准探测,在不影响探测结果的基础上压缩光学系统体积,采用二维双平面反射系统,设计了一套光学总长为4 m、最大反射镜为12.8 cm的折返式光路。该折返式光路将n片平面反射镜分为2×(n+1)段光程,利用全局搜索算法(Global Search)对反射镜数量和光学直径进行优化,实现每条探测光线都能照射到探测物体并成功折返回探测器;满足探测要求后,利用信号波原理进行理论验证分析,避免光程折损引起探测误差;最后,通过分析系统在封闭空间内杂散光线的仿真结果,对系统进行杂散光抑制,对实验与原路径的探测结果进行对比,验证了设计光路的正确性和准确性。

     

    Abstract: In order to achieve accurate detection of the outdoor infrared ranging system in a limited confined space, the volume of the optical system needed to be compressed on the basis of not affecting the detection results, and a set of foldback optical paths with a total optical length of 4 m and a maximum mirror of 12.8 cm was designed using a two-dimensional biplane reflector system. The foldback optical path was divided into 2×(n+1) sections with n planar mirrors, and the number of mirrors and the optical diameter were optimized using the Global Search algorithm, so that each detection ray could irradiate the detected object and be successfully folded back to the detector. After meeting the detection requirements, the theoretical verification analysis was carried out by using the signal wave principle to avoid the detection errors caused by the optical range loss. Finally, by analyzing the simulation results of stray light of the system in a confined space, the stray light suppression of the system was carried out, and the experiments were compared with the detection results of the original path to verify the correctness and accuracy of the design.

     

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