雷达和QAR数据的融合处理

基于数据融合技术,在研究雷达数据与快速访问记录器(QAR,quick access recorder)数据构成的基础上,提出了一种将雷达数据与QAR数据进行航迹融合的处理方法。通过坐标变换,能在平面内绘出飞行航迹;利用卡尔曼滤波算法对接收的数据进行处理,能有效地减少了报文丢失及乱码对跟踪精度的影响;同时,采用时间对准算法实现不同航迹数据的同时性。结果表明,雷达数据与QAR数据进行加权融合的处理方法,实现了两类数据的融合以及对有效信息的综合利用,从而降低雷达测量误差对系统监视精度的影响。

The Fusion of Radar and QAR Data

Based on the study of radar and QAR(quick access recorder) data construction,a method for flight path merging from radar and QAR data was presented by utilizing a data fusion technique.The flight path can be drawn on a plan by coordinates counterchange.Kalman filter is also employed to reduce the negative influence on tracking accuracy caused by data loss and code error during transmission.Meanwhile,simultaneity of different flight path data can be realized via time calibration arithmetic.Application result shows that the method with weighting data fusion of radar and QAR data can achieve the fusion of two types of data and valid information utilization,which further decreases the influence of radar errors on the accuracy of monitoring system.