| 李文海,郭凯,孙伟超,唐贞豪.基于机身点云特征的机载电子对抗装备测试点自动定位技术研究[J].电子测量与仪器学报,2026,40(6):262-270 |
| 基于机身点云特征的机载电子对抗装备测试点自动定位技术研究 |
| Automatic calibration method for test points of airborne electronicwarfare equipment based on aircraft fuselage point cloud features |
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| DOI： |
| 中文关键词: 激光点云 测试点位 映射裁剪 自动定位 转换矩阵 |
| 英文关键词:laser point cloud test point location mapping and clipping automatic calibration transform matrix |
| 基金项目:山东省泰山学者基金（TSTP20221146）项目资助 |
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| 中文摘要: |
| 在外场环境下对机载电子对抗装备进行原位测试时，测试点的定位常面临效率低、耗时长的难题。为提升该环节的自动化水平，提出一种基于机身点云特征的测试点自动定位方法。该方法以飞机起落架作为重要参照依据，仅需一次性获得测试点在机身坐标系中的位置，便可结合激光雷达点云数据完成在任意位置处的测试点自动定位工作。这一过程涉及到点云映射裁剪、机身与激光雷达间的坐标变换、转换矩阵求解等关键技术，可为移动测试平台后续自主定位、导航等相关研究和工程化应用奠定理论基础。在外场环境下针对实际飞机装备设计了测量实验，测试平台分别于不同位置获取起落架点云并自动完成测试点位计算，结果表明，测量点位与实际值之间的绝对误差低于10 cm，相对误差不超过1%，所提方法较高的可靠性和可行性，可推动装备测试技术向无人智能化迈进。 |
| 英文摘要: |
| In field in-situ testing of airborne electronic countermeasure equipment, the positioning process of test points suffers from low efficiency and high time consumption. This paper proposes an automatic test point positioning method based on airframe point cloud features. Using the aircraft landing gear as a key reference, this method requires only a one-time acquisition of the test point’s position in the airframe coordinate system, which can then be combined with LiDAR point cloud data to achieve automatic test point positioning at any location. This process involves key steps such as point cloud mapping and cropping, coordinate transformation between the airframe and the LiDAR, and transformation matrix solving. The paper conducts measurement experiments on actual aircraft equipment in an outdoor environment. The results show that the absolute error between the measured positions and the actual values is less than 10 cm, with a relative error not exceeding 1%, demonstrating high reliability and feasibility. This advancement can promote the development of equipment testing technology toward unmanned and intelligent operations. |
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