CAJ | 학술논문

面对空中交通密度越来越大，TCAS II在实际应用中暴露出的虚警和不必要告警等问题愈加明显。为了提供可靠连续的监视信息，提高防撞系统的性能，给出了一种ADS-B与TCAS II组合监视数据融合算法。该算法首先建立了飞机状态空间模型，并分析了ADS-B和TCAS II数据内容和特点，然后研究了数据融合前需要解决的关键问题，利用Kalman滤波器对数据进行处理，采用了在线性最小方差意义下的按标量加权最优信息融合准则和算法对数据进行融合。对该算法进行仿真，结果表明融合后的数据估计误差比任何一个传感器单独估计的误差都要小，说明该算法能够得到较高精度的数据，有效增强了防撞系统的性能。
면대공중교통밀도월래월대，TCAS II재실제응용중폭로출적허경화불필요고경등문제유가명현。위료제공가고련속적감시신식，제고방당계통적성능，급출료일충ADS-B여TCAS II조합감시수거융합산법。해산법수선건립료비궤상태공간모형，병분석료ADS-B화TCAS II수거내용화특점，연후연구료수거융합전수요해결적관건문제，이용Kalman려파기대수거진행처리，채용료재선성최소방차의의하적안표량가권최우신식융합준칙화산법대수거진행융합。대해산법진행방진，결과표명융합후적수거고계오차비임하일개전감기단독고계적오차도요소，설명해산법능구득도교고정도적수거，유효증강료방당계통적성능。
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.