作　　者： (）;

机构地区： 南方医科大学

出　　处： 《计算机系统应用》 2019年第9期264-270,共7页

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%. 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.

关 键 词： 目标跟踪 空间配准 最小二乘估计

领　　域： []