飞机地面防撞多传感器数据融合系统研究

Search on Multi-sensor Data Fusion Based Aircraft on Anti-collision System on Earth

为了实现对不同传感器探测和跟踪的目标信息融合,提出了一种车载飞机地面防撞的多传感器数据融合系统。采用矩不变量的方法描述飞机的特征;采用Levenberg-Marquardt算法对标准的BP网络算法进行改进,使系统快递、稳定地进行飞机识别。该算法实现了多传感器多目标定位、航迹融合等关键技术,实验表明,该系统可以较好地实现目标定位、跟踪以及目标识别的目的。

In order to realize the fissions of the target information obtained from different sensors, a multi-sensor data fusion system based on aircraft anti-collision on earth is devebped. To describe the character of aircraft simply and efficiently, moment invariants are used. At the same time, a method is employed to improve BP algorithm , making the recognition process faster and more stable. Algorithms is introduced which achieve muhi-sensor and multitarget location, track fusion, and other key technologies. Experiments proved that this system performs welL.