关键词: 广播式自动相关监视, 空中交通警戒与防撞系统, 数据融合, 卡尔曼滤波

Abstract: TCAS II leaking many more obvious problems of false alarm and unnecessary alarm in practical application with the increasing air traffic density, in order to provide the reliable and continuous monitoring information and improve the performance of the anti-collision system, present a data fusion algorithm of the ADS-B with the TCAS II combination monitoring. Firstly, the algorithm establishes the state space model for the aircraft in a reasonable manner, analyses the ADS-B and TCAS II data content and characteristics, and studies the key problems need to be solved before data fusion, using Kalman filter to process data and implement data fusion with the scalar optimal data fusion criterion in the sense of linear minimum variance. Simulate the algorithm and the result shows that the data error after fusion estimation is smaller than any sensor estimation and explains that the algorithm can get high accuracy data, and enhance the performance of the collision avoidance system effectively.

Key words: Automatic Dependent Surveillance-Broadcast（ADS-B）, Traffic Alert and Collision Avoidance System（TCAS）, data fusion, Kalman filter