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基于方位频率测量的水下被动目标运动分析算法
引用本文:刘健,刘忠,玄兆林.基于方位频率测量的水下被动目标运动分析算法[J].舰船科学技术,2006,28(3):66-69.
作者姓名:刘健  刘忠  玄兆林
作者单位:海军工程大学,湖北,武汉,430033
基金项目:大功率微波器件技术实验室基金
摘    要:根据被动观测器所测得的目标方位和多普勒频率信息,通过对新息的伪线性处理,建立了系统线性的状态方程和观测方程,并推导出修正的扩展卡尔曼滤波递推公式,从而对目标的运动状态进行估计。通过蒙特卡罗仿真表明,此算法具有收敛速度快、精度高、稳定性好等优点,可应用于远距离的水下被动目标运动分析。

关 键 词:目标运动分析  方位  多普勒频率
文章编号:1672-7649(2006)03-0066-04
收稿时间:2005-04-08
修稿时间:2005-04-08

The research of underwater passive TMA algorithm with bearings and frequencies measurements
LIU Jian,LIU Zhong,XUAN Zhao-lin.The research of underwater passive TMA algorithm with bearings and frequencies measurements[J].Ship Science and Technology,2006,28(3):66-69.
Authors:LIU Jian  LIU Zhong  XUAN Zhao-lin
Institution:Naval University of Engineering, Wuhan 430033, China
Abstract:Base on the measurement of both bearings and frequencies by passive observer,the linear equation of both state and measurement are established through pseudolinear method applied to innovation and the modified extend Kalman filter is obtained and can be estimate the parameters of moving target.The Monte-Carlo simulation experiment results demonstrate that the MEKF algorithm has some merits of fast convergence,high precision and stability.So the algorithm can be applied to the long-range underwater passive TMA.
Keywords:target motion analysis  bearing  doppler shifted frequency
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