基于时间相关单光子计数的穿透成像激光雷达研究(特邀)

Research on penetrating imaging LIDAR based on time-correlated single photon counting (invited)

  • 摘要: 激光雷达是一种能够快速获取目标三维信息的光学传感器,凭借精确定位与高效识别能力,其在军事侦察、无人驾驶、空间交会对接等领域发挥着越来越重要的作用。然而在浓雾、烟尘、海水等复杂的气候或环境下,传输介质对光场的强烈散射作用会造成传统激光雷达接收信号的严重退化,致使其性能迅速降低,甚至根本无法正常使用。针对该类环境下接收信号的退化特性,首先建立了Monte Carlo的Mie散射瞬态光场传输模型,接着通过计算机模拟仿真了传输光场的时域分布规律,针对该规律研究了时域信号去散射效应的滤波算法,最后在实验室搭建了基于时间相关单光子计数的穿透成像激光雷达系统,开展了雾气模拟环境下的成像实验,结果验证了该穿透成像激光雷达系统的处理方法对目标图像重构质量的提高具有较好的效果。该研究为激光雷达在复杂散射环境中的进一步应用提供了基础。

     

    Abstract: Light detection and ranging (LIDAR) is a kind of optical sensor with accurate positioning and efficient identification ability that can quickly acquire three-dimensional information of targets. Therefore, LIDAR plays an increasingly important role in military reconnaissance, unmanned driving, space docking and other fields. However, in complex environment such as fog, smoke, sea and so on, scattering effect in light field causes serious degradation of the received signal in traditional LIDAR. Under these environmental conditions, the performance of traditional LIDAR will decrease rapidly, or fail to work. Aiming at the degradation characteristics of received signal in scattering environment, the transmission model of Mie scattering transient light field of Monte Carlo was firstly established. Then, the time-domain distribution law of the transmission light field was simulated by computer software. According to this law, the filtering algorithm of the time-domain signal de-scattering effect was studied. Finally, a kind of penetrating LIDAR based on TCSPC was built in laboratory. Through the imaging experiments in fog simulation environment, the results verify that the penetrating LIDAR method has a good effect on improving the quality of target image reconstruction. This study provides a base for the further applications of LIDAR in complex scattering environment.

     

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