利用Mehra自适应卡尔滤波进行船舶目标跟踪

Ship target tracking using Mehra adaptive Carle filter

基于无线传感网络的目标跟踪技术在航海中应用越来越多,卡尔曼滤波是目标跟踪系统中求解非线性最优解的主流技术。卡尔曼滤波算法通过传感网络中的定位值进行"预测-修正-调整"的自适应反馈调整,能动态的调整跟踪精度。随着无线传感器的采集数据的增加及部署密度的增强,传统的最小二乘法算法已经不能适应船舶目标跟踪。本文分析基于无线传感网络目标跟踪模型,在此基础上设计基于Mehra卡尔曼滤波的移动目标跟踪算法。

The target tracking technology based on wireless sensor network is more and more used in navigation, and the Calman filter is the direct current technology to solve the nonlinear optimal solution in the target tracking system. Calman filtering algorithm by positioning the sensor network values in the "adaptive prediction correction adjustment feedback adjustment, can dynamically adjust track reading. With the increase of the data acquisition and the enhancement of the density of the wireless sensor, the traditional least squares algorithm can not adapt to the target tracking. In this paper, the target tracking model based on wireless sensor network is analyzed, and the moving target tracking algorithm based on Calman filter is designed.