摘要
系统所处环境的复杂性使得现在科技对目标跟踪精度的要求越来越高,而且单传感器状态的估计已经无法满足系统感知外部环境的需要。在此,研究了基于扩展卡尔曼滤波的多传感器目标跟踪方法。仿真表明,扩展卡尔曼滤波对于非线性系统跟踪的效果更好。
As complexity of the system environment and high demand of the modern for precision tracking,single sensor state estimation has not met the perceived needs of external environment.In this paper,multisensor multitarget tracking fusion algorithms based on EKF are studied.Simulation and text show that this method has a very good filter effect.
出处
《舰船电子工程》
2010年第12期71-72,154,共3页
Ship Electronic Engineering
基金
国家自然科学基金项目(编号:60572161
60874105)
全国优秀博士论文作者专项资金项目(编号:200443)资助
