针对民航机场场面目标的精确跟踪问题，以广播式自动相关监视传感器 (ADS-B)和多点定位传感器 (MLAT)为基础，提出了一种基于地理引导信息的多传感器融合跟踪方法。该方法通过分布式滤波来协调异类传感器的相互关系，实现航迹融合。滤波过程依据机场地理信息进行自适应控制，通过变结构的多模型来提高跟踪精度。实验表明了该方法不仅具有较高的跟踪精度，而且具有工程应用价值。

In view of the accurate tracking for the airport surface targets, a multi-sensor trajectories fusion method based on geography guidance is proposed to process the data from Automatic Dependent Surveillance – Broadcast (ADS-B) and Multilateration (MLAT). This method deals with the relations among the different sensors using distribute filters to realize the trajectories fusion. The process of filtering is under the control of the airport surface geography information and improves the precision through a variable structural multi-model mechanism. Experimental results show that the proposed method has the advantages of both high detection precision and project application value.