摘要
舰载雷达目标追踪系统可以探测和跟踪海面、水下和空中的目标,为船舶导航等提供重要的目标数据,保障船舶安全和正常航行。卡尔曼滤波器(CKF)是基于容积卡尔曼滤波算法设计的一种典型非线性滤波器,近几年来获得了广泛的关注。本文利用容积卡尔曼滤波器,对传统舰载雷达系统进行鲁棒性和近似线性的优化,提高舰载雷达目标追踪的效率和精度。
The target tracking system of ship radar equipment can detect and track the targets of the sea surface, underwater and air, and provide important target data for ship navigation, so as to ensure the safety and normal navigation of the ship. Calman filter(CKF) is a typical nonlinear filter based on the volume of the filter design, in recent years has been a wide range of attention. In this paper, we use the Calman filter to optimize the performance of the conventional shipboard radar system, and improve the efficiency and precision of the target tracking.
出处
《舰船科学技术》
北大核心
2017年第5X期43-45,共3页
Ship Science and Technology
