| 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。 |
| 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 |
| DOI： |
|
| 基金项目:国家高技术研究发展计划(863计划)项目(2006AA12A103) |
|
| Data fusion algorithm for TCAS/ADS-B integrated surveillance system based on current statistical model |
| XU Ya-jun,HE Gui-ping |
| () |
| Abstract: |
| The principle difference between Traffic Alert and Collision Avoidance System(T
CAS) and
Automatic Dependent Surveillance-Broadcast(ADS-B) surveillance is
compared. A TCAS/ADS-B integrated surveillance system based on the current st
atistical model is built. The surveillance range of the integrated sur
veillance system is divided into sub-ranges. Using the data fusion algori
thm, the optimal local track of TCAS and ADS-B,as well as the optimal fused tra
ck of the integrated system are estimated. The simulation results show that the
maximum optimal fused estimated position error is 100 m, which proves that
the integrated system can improve track estimates accuracy,so as to improve the
surveillance precision of TCAS. |
| Key words: TCAS ADS-B integrated surveillance local track data fusion fused track current statistical model |
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