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The Study of Moving Target Detection Algorithm Based on Wind Field Detected by Lidar

机译:激光雷达探测风场的运动目标检测算法研究

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Aiming at the situation that normal detection means is hard to find the airborne moving target that has a small RCS and rapid moving speed characteristics, the algorithm of moving target detection is presented based on atmospheric wind field disturbing data detected by lidar. First, through receiving atmospheric wind field disturbance information that is produced by the airborne moving target moving on the air, and the excellent characteristics that lidar has in the detection atmosphere, atmospheric wind field disturbing retrieval model is established to acquire moving target space field distribution condition. Moving target space field change data is acquired based on filtering background air disturbance information, Moving target detection is carried out based on moving target detection algorithm. The result shows there is consistent between moving target detected by the algorithm and experimental result. An effective approach of greatly improving moving target detection ability for the low_detectable target is supplied.
机译:针对常规检测手段难以找到RCS小,运动速度快的机载运动目标的情况,提出了一种基于激光雷达检测到的大气风场干扰数据的运动目标检测算法。首先,通过接收空中移动目标在空中运动产生的大气风场扰动信息,以及激光雷达在探测大气中的优良特性,建立了大气风场扰动反演模型,以获取移动目标空间场的分布条件。 。基于对背景空气干扰信息的滤波获取运动目标空间场变化数据,并基于运动目标检测算法进行运动目标检测。结果表明,该算法检测到的运动目标与实验结果吻合良好。提供了一种大大提高针对低检测目标的移动目标检测能力的有效方法。

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