基于“当前”统计模型的ADS-B航迹滤波与处理  

ADS-B track filtering and processing based on the“current”statistical model

作　　者：赵龙 张枢 ZHAO Long;ZHANG Shu(Civil Aviation College,Shenyang Aerospace University,Shenyang 110136,China)

机构地区：[1]沈阳航空航天大学民用航空学院,沈阳110136

出　　处：《信息技术》2024年第6期22-28,35,共8页Information Technology

基　　金：国家自然科学基金(61671141);辽宁省教育厅系列项目资助(L201723)。

摘　　要：针对ADS-B航迹处理的精度问题,提出了一种ADS-B航迹滤波与处理的方法。首先,介绍了ADS-B航迹处理的流程;其次,针对在ADS-B航迹处理时出现的精度问题,引入“当前”统计模型进行研究;然后基于“当前”统计模型,利用自适应滤波算法进行航迹预测,实现航迹平滑;最后,通过对比仿真实验对自适应滤波算法的航迹滤波与处理性能进行分析,对比卡尔曼滤波算法与自适应滤波算法对航迹的处理效果,以及两种算法的误差均值。结果表明:基于“当前”统计模型的自适应滤波算法对航迹的处理有较好的效果,能够有效实现航迹的平滑与预测。To address the accuracy problem of ADS-B track processing,a method of ADS-B track filtering and processing is proposed.Firstly,the process of ADS-B track processing is introduced.Secondly,for the accuracy problem in ADS-B track processing,the“current”statistical model is introduced for research.Then,based on the“current”statistical model,the adaptive filtering algorithm is used for track prediction to achieve track smoothing.Finally,through comparative simulation experiments,the track filtering and processing performance of the adaptive filtering algorithm is analyzed,and the processing effect of the Kalman filtering algorithm and the adaptive filtering algorithm on the track,as well as the mean value error of the two algorithms are compared.The results show that the adaptive filtering algorithm based on the“current”statistical model has a good effect on the track processing,and can effectively achieve track smoothing and prediction.

关 键 词：广播式自动相关监视 航迹滤波 “当前”统计模型 航迹平滑 自适应滤波 

分 类 号：TN96[电子电信—信号与信息处理]