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。
Base on the measurement of both bearings and frequencies by passive observer,the linear equation of both state and measurement are established through pseudo-linear 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.
出处
《舰船科学技术》
北大核心
2006年第3期66-69,共4页
Ship Science and Technology
基金
预研项目413040201
关键词
目标运动分析
方位
多普勒频率
target motion analysis
bearing
doppler shifted frequency
作者简介
刘健（1974-）,男,博士生,研究方向为目标运动分析和系统仿真.
