摘要
针对传统的系统误差配准算法大都是在航迹已正确关联前提下的误差配准问题。提出了一种新的基于航迹图像的2D雷达系统误差配准算法。该方法首先分析了系统误差对目标航迹的影响,并将该影响表示为目标航迹的相对旋转和平移量,其次根据目标航迹产生参考图像和待配准图像,结合归一化互相关法和相位相关法来对相对旋转和平移量分别进行估计补偿,从而不需要考虑航迹关联即可实现系统误差配准。仿真结果表明了该方法的有效性。
The traditional system errors registration algorithms almost have been researched under the correctly track association in the radar networking.A new 2D radar system errors registration algorithm based on track images has been presented.Firstly,it analyzes that how do the bias errors affect the detected track of targets,and expresses the effect caused by systematic errors as rotation and translation parameters;meanwhile,both reference image and sensed image have been provided by the track data of targets and with thought of normalized cross correlation and phase correlation,the rotation and translation parameters have been estimated and compensated;finally,the algorithm aligns the track data of targets is provided by radars in the network to which of the fusion center.So without track association,system errors registration can be achieved.Simulation result shows the effectiveness of the method.
出处
《火力与指挥控制》
CSCD
北大核心
2012年第6期51-54,58,共5页
Fire Control & Command Control
基金
国家自然科学基金(60541001
61032001
61002006)
"泰山学者"专项基金资助项目
关键词
归一化互相关
相位相关
系统误差配准
航迹关联
normalized cross correlation
phase correlation
systematic errors registration
track correlation