Multi-Sensor Data Fusion Based on Environment Database for Airport Surface Surveillance

摘要：

The ADS-B (Automatic Dependent Surveillance Broadcast) and MLAT (Multilateration) are becoming the leading surveillance techniques in the field of ATC (Air Traffic Control), and will play important roles in the futures tracking system. It is inevitable to need a framework to fuse the data from these modern techniques. However, traditional fusion method dose not provide sufficient precision in the surface surveillance and easily brings out saw-shaped trajectory. This paper designs a hybrid fusion framework based on environment database. The hybrid framework includes centralized filters and distributed filters to deal with the relations among different sensors. The environment database is used to better the settings of adaptive 1MM in each sensor. Under such framework, ADS-B and MLAT data are processed intensively to achieve high accuracy. Experiment results based on simulation and practical data illustrate the algorithm can achieve high precision.

关键词： Data fusion Adaptive IMM ADS-B MLAT

作者: YuLu Changzhong Liu Zhengning Wang Zili Xu

作者单位: National Communication Laboratory, UESTC The Second Research Institute, CAAC College of Computer Sci The Second Research Institute, CAAC Chengdu, China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 120-123

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）