摘要
利用卡尔曼滤波算法的自回归性,将其应用到船舶动态跟踪预测中,建立船舶运动的状态方程,通过当前状态进行下一时刻的位置和速度预测,然后利用Matlab对采集到的10帧图像进行实验仿真。通过对测量值、估计值和最优值的对比可知,本文算法能够较高精度的对船舶进行跟踪预测。
The Calman filter algorithm has the advantage of auto regression,which was applied to the prediction of ship dynamic tracking in this paper. The state equation of ship motion was established. Predict the position and speed of the next moment through the current state. Then use matlab to simulate experiment for 10 images by collected. By comparing the measured value,the estimated value and the optimal value,the algorithm in this paper could track and predict the ship with high accuracy.
出处
《舰船科学技术》
北大核心
2016年第11X期67-69,共3页
Ship Science and Technology
关键词
卡尔曼滤波
船舶跟踪预测
自回归性
Kalman filter
ship tracking prediction
auto regression
