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:2019,28(9):264-270
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联合ADS-B的最小二乘雷达系统误差估计方法
(1.南方医科大学 网络中心, 广州 510630;2.南方医科大学 第三附属医院, 广州 510515;3.深圳大学 信息工程学院, 深圳 518060;4.陆军炮兵防空兵学院, 郑州 450052;5.约瑟夫.斯特凡国际研究生学院, 卢布尔雅那, 斯洛文尼亚 1000)
Least Squares Radar Systematic Error Estimation Algorithm By Joint ADS-B
(1.Network Center, Southern Medical University, Guangzhou 510515, China;2.The Thild Affiliated Hospital of Southern Medical University, Guangzhou 510630, China;3.College of Information Engineering, Shenzhen University, Shenzhen 518060, China;4.Zhengzhou Campus, PLA Army Artillery Air Defense Academy, Zhengzhou 450052, China;5.Jož6.ef Stefan International Postgraduate School, Ljubljana 1000, Slovenia)
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投稿时间:2019-03-12    修订日期:2019-04-17
中文摘要: 为了解决两坐标雷达系统误差估计问题,提出一种联合ADS-B的最小二乘雷达系统误差估计方法.提出方法首先将ADS-B量测从地理坐标系转换到雷达局部直角坐标系,建立统一的配准空间;其次以雷达航迹的采样时间为基准,对ADS-B航迹进行插值,构造新的ADS-B航迹;然后采用直线拟合算法分别计算雷达航迹和ADS-B航迹的直线方程,并计算两条直线的夹角,再利用该夹角补偿雷达航迹的航向角数据;最后采用最小二乘算法估计雷达系统误差.实测数据实验结果表明,与传统直线拟合方法和最小二乘方法相比,提出方法能够更有效地估计雷达系统误差;经过提出方法配准处理后,雷达航迹数据的平均斜距离误差和方位角误差分别降低71.7%和52.7%.
Abstract:To solve the systematic error estimation problem for a two-coordinate radar, the least squares radar systematic error estimation method by a joint ADS-B (Automatic Dependent Surveillance-Broadcast) device is proposed. In the proposed method, the ADS-B measurements are first transformed from geographic coordinate system to radar local rectangular coordinate system for building a unified observation space. Then, the radar track and ADS-B track are applied to calculate the corresponding straight-line equation by the line fitting algorithm, and these two equations are further utilized to calculate the angly between the two straight-lines for compenlating the azimuth component of the radar track. Finally, the least squares algorithm is applied to estimate the radar systematic error. The real-data experimental results of real data illustrate that the proposed method can effectively estimate the radar systematic error compared with the traditional straight-line algorithm and the least squares algorithm. After registering the radar track by the proposed method, the average range error and the azimuth error can be reduced by 71.7% and 52.7%, respectively.
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基金项目:国家自然科学基金(61703280,61603258);绍兴市科技计划(2017B70056);资源环境信息化甘肃省国际科技合作基地
引用文本:
原常弘,郭文明,范恩,李鹏飞,李晓斌.联合ADS-B的最小二乘雷达系统误差估计方法.计算机系统应用,2019,28(9):264-270
YUAN Chang-Hong,GUO Wen-Ming,FAN En,LI Peng-Fei,LI Xiaobin.Least Squares Radar Systematic Error Estimation Algorithm By Joint ADS-B.COMPUTER SYSTEMS APPLICATIONS,2019,28(9):264-270

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