基于当前统计模型的TCAS/ADS-B组合监视系统数据融合算法  

Data Fusion Algorithm for TCAS/ ADS- B Integrated Surveillance System Based on Current Statistical Model

作　　者：徐亚军[1] 何桂萍[1] 

机构地区：[1]中国民用航空飞行学院航空工程学院,四川广汉618307

出　　处：《电讯技术》2013年第9期1154-1158,共5页Telecommunication Engineering

基　　金：国家高技术研究发展计划(863计划)项目(2006AA12A103)~~

摘　　要：比较了空中交通警戒与防撞系统(TCAS)和自动相关监视系统(ADS-B)的监视原理,构建了TCAS/ADS-B组合监视系统,对组合监视系统的监视区域进行了划分。采用当前统计模型的数据融合算法,得到了优化的TCAS局部轨迹估算和优化的ADS-B局部轨迹估算,以及优化的融合轨迹估算。仿真结果显示,最大优化融合位置误差为100 m,证明该组合监视系统可以提高目标飞机轨迹估算的准确度,从而提高TCAS的监视精度。The principle difference between Traffic Alert and Collision Avoidance System（TCAS） and Automatic Dependent Surveillance-Broadcast（ADS-B） surveillance is compared. A TCAS/ADS-B integrated surveillance system based on the current statistical model is built. The surveillance range of the integrated surveillance system is divided into sub-ranges. Using the data fusion algorithm, the optimal local track of TCAS and ADS-B, as well as the optimal fused track of the integrated system are estimated. The simulation results show that the maxi- mum optimal fused estimated position error is 100 m, which proves that the integrated estimates accuracy, so as to improve the surveillance precision of TCAS.

关 键 词：TCAS ADS—B 组合监视 局部轨迹 数据融合 融合轨迹 当前统计模型 

分 类 号：TN967.5[电子电信—信号与信息处理] V243[电子电信—信息与通信工程]