卡尔曼滤波算法在船用雷达运动目标跟踪滤波器中的应用

Application of Kalman filtering algorithm in tracking filter for moving target tracking in ship

首先介绍离散卡尔曼滤波的系统模型并进行理论分析,在观测噪声矢量是白噪声的情况下设计船用雷达运动目标跟踪滤波器,然后模拟实际海面跟踪目标来获得发送端数据进行滤波器的性能仿真。实验结果表明,当观测噪声协方差矩阵和实际的噪声协方差矩阵相近时,卡尔曼滤波器具有滤波精准度高、收敛速度适中及稳定性强等优点。

First,This article introduced the system model of discrete Kalman filter and theoretical analysis. In the case of white noise of observation noise vector,design of marine radar moving target tracking filter. Then simulate the actual sea surface to track the target to get the sender filter performance simulation data. Finally,the experimental structure showed that Kalman filter filtering accuracy is high,moderate convergence speed and stability,when the observation noise covariance matrix and the actual noise covariance matrix similar.