基于着陆雷达的飞机下滑航迹融合算法设计与实现

Design and Implementation of Track-to-track Fusion Algorithm Based on Approach Radar

摘要:

针对目前飞机进近着陆阶段部分型号着陆雷达实时提供三维位置数据时信息不完整的问题,提出了一种基于雷达坐标系的航迹融合算法,将不同源的航迹数据转换到雷达坐标系下进行航迹关联,再进行最小二乘加权卡尔曼滤波,并通过仿真验证与工程实践,证明该算法可以有效实现飞机着陆阶段的航迹融合。

Abstract:

Parts of approach radar can not provide integrated three-dimensional position information during the stage of airplane’s approach. Therefore, a track-to-track fusion algorithm based on precise approach radar is proposed, which transform different track data into radar coordinate system and then realize the track correlation and least square weighted Kalman filter fusion. The results of the simulation experiment and engineering test show that this algorithm is really effective.