Abstract: The key points of data process based on ADS-B and multi-radar data are summarized after analyzing and comparing the differences between the two categories of data. Considering of these key points, an alignment of time method is presented from points of time schedule and process cycle view, alignment of space method is studied including coordinate transformation and bias registration, current model and unscented Kalman filter algorithm is proposed for maneuvering targets, also the association gate method, global nearest neighbor algorithm and fusion algorithm are further presented. Application of surveillance data processing system using ADS-B and multi-radar data achieves great success, improves not only the track precision but also the stability.

Key words: multi-radar, Automatic Dependent Surveillance-Broadcasting（ADS-B）, surveillance data fusion, data process

摘要： 航管多雷达数据和ADS-B数据各有优缺点，在分析了两类数据异同基础上指出了ADS-B数据引入航管多雷达数据处理中需要解决的关键技术难题。基于此，从探测时序和处理周期两方面给出了时间对准方法，研究了空间对准中的坐标转换及其误差配准技术，提出以当前模型和无迹卡尔曼滤波应对目标机动，给出了波门设定、最近邻相关以及融合算法的完整数据融合方案。实际应用中两类数据实现了有效利用和深度融合，提高了航管监视数据处理系统的精度和稳定性，是一种有效的航管监视数据处理方法。

关键词: 多雷达, 广播式自动相关监视, 监视数据融合, 数据处理