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
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摘要: 探讨融合搜索雷达和红外警戒系统目标舰迹跟踪的新方法。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。Abstract: 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.
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