基于机器视觉的雷达测角精度评估系统
发布时间：2019-01-22 21:05
【摘要】：利用光学成像原理,设计了基于机器视觉的雷达测角精度评估系统,主要包括光学部分(CCD相机)、图像采集部分和图像处理与目标角度信息提取部分等;机器视觉的定位成像和高精度测角,保证了该系统能在紧缩场中对雷达系统进行自动化、高精度、实时的角度测量校准和测量精度评估试验;理论分析和仿真结果表明,补偿由于雷达系统和机器视觉系统安装位置不同引起的角度测量偏差后,在正常的实验测量误差条件下,基于机器视觉的角度测量校准和评估系统能达到O.005°的校准和评估精度。
[Abstract]:Based on the principle of optical imaging, a radar angle measurement accuracy evaluation system based on machine vision is designed, which includes optical part (CCD camera), image acquisition part and image processing and angle information extraction part. The positioning and imaging of machine vision and high precision angle measurement ensure that the system can automate, high precision and real time angle measurement calibration and measurement accuracy evaluation test in the compact field. The theoretical analysis and simulation results show that, after compensating the angle measurement deviation caused by the different installation positions of radar system and machine vision system, under the normal experimental measurement error condition, The calibration and evaluation system of angle measurement based on machine vision can achieve the calibration and evaluation accuracy of 0. 005 掳.
【作者单位】： 上海无线电设备研究所;
【分类号】：TN953.5
[Abstract]:Based on the principle of optical imaging, a radar angle measurement accuracy evaluation system based on machine vision is designed, which includes optical part (CCD camera), image acquisition part and image processing and angle information extraction part. The positioning and imaging of machine vision and high precision angle measurement ensure that the system can automate, high precision and real time angle measurement calibration and measurement accuracy evaluation test in the compact field. The theoretical analysis and simulation results show that, after compensating the angle measurement deviation caused by the different installation positions of radar system and machine vision system, under the normal experimental measurement error condition, The calibration and evaluation system of angle measurement based on machine vision can achieve the calibration and evaluation accuracy of 0. 005 掳.
【作者单位】： 上海无线电设备研究所;
【分类号】：TN953.5
【参考文献】
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