摘要
为实时、准确获取水下目标的航迹,设计采用运动通信平台获取目标的相对位置,进而推算目标航速和位置。采用扩展卡尔曼滤波方法对测量数据进行处理,推导了卡尔曼滤波算法,建立了目标状态方程和测量方程。针对系统的非线性测量方程,采用雅克比矩阵进行线性化处理,进而建立了扩展卡尔曼滤波算法。通过实例仿真分析,结果表明,该算法收敛速度和估计精度能够满足系统的应用要求,是有效、可行的。
In order to obtain the track of underwater target,a method based on extended Kalman filter is proposed,which can calculate the target track and the position by obtaining the float boat position relative to the target.The measured data results are analyzed by the Extended Kalman filter.First,the formulation was deduced.Second,the target state and measurement model are established.Finally,for nonlinear measure equation,the Jocabi matrix was introduced for linear processing.The instance simulation based on extended Kalman filter is carried out.The simulation results show that the algorithm convergence speed and estimation accuracy can meet the system requirement,which makes it available and feasible.
出处
《无线电工程》
2011年第4期53-55,共3页
Radio Engineering
关键词
水下目标测量
扩展卡尔曼滤波
仿真分析
underwater target measurement
extended Kalman filter
simulation analysis
