杂波背景下舰艇警戒系统的融合跟踪

Data Fusion and Tracking in Clutter with Naval Ship's Surveillance System

探讨融合搜索雷达和红外警戒系统目标航迹跟踪的新方法 .该方法以球坐标系中三通道解耦自适应卡尔曼滤波为基础 ,结合最近邻 (NN)方法或概率数据关联滤波(PDAF)方法实现杂波中的机动目标跟踪 .以杂波背景下反舰导弹类目标跟踪为例进行蒙特卡洛仿真 ,表明了这种方法有足够高的精度和良好的性能 .该方法从新的角度解决了两类传感器在杂波背景下融合跟踪的问题 ,结构简单 ,运算量小 ,精度较高 ,具有理论意义和应用价值 .

A new method to fuse searching radar and infrared sensor and to implement track maintenance in clutter was developed. Based on adaptive Kalman filter in polar coordinates, the algorithm was implemented with NN method and PDAF to fuse sensors in clutter. Simulation results of tracking antiship missle in clutter were presented and analyzed to show the performance of the new method. The new method has the advantage of flexibility, accuracy and efficiency.