基于机器视觉的雷达测角精度评估系统

System for Evaluating Precision of Radar Angular Measuring Based on Machine Vision

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0.005°的校准和评估精度。

Abstract:

an evaluation system for the precision of radar angular measuring based on the principle of optical imaging is proposed in this paper, which is composed by optical part (CCD camera), image sampling part and the image processing and target angle extracting part. With this system, the experimentation of calibrating fixed error and evaluating precision for radar angular measuring can be carried out with automation, high precision, and real-time processing. Theoretical analysis and simulation results show that the calibration and evaluation system based on machine vision has a precision of 0.005°for calibrating and evaluating radar angular measuring, under the condition that the usual experimental measurement error is achieved and the deviation caused by the difference of the position between radar system and machine vision system is compensated.