摘要
针对无源定位系统中,机载单站相对于运动辐射源目标作为状态模型,在测方位角及其变化率基础上,引入多普勒频率变化率参数构建观测模型。常用的扩展卡尔曼滤波(EKF)存在不稳定和精度低的问题,采用修正增益的扩展卡尔曼滤波算法(MGEKF),找出修正函数矩阵,实现定位状态滤波估计。仿真结果表明,MGEKF算法较之EKF算法有较高的定位精度和较快的收敛速度。
In passive location system, the state model was set up as a airborne single observer moving emitter. The observa-tion model was formed on the base of measuring azimuth angle and its changing rate, and the parameter of Doppler frequen-cy changing rate was introduced. On counter of the instability and low precision in the passive location system with the fre-quently-used“Extended Kalman Filter”（EKF）,“modified function matrix”was calculated, and“Modified Gain EKF”（MGEKF）was adopted. The result of simulation indicated that its precision was higher and its convergence speed was fast-er.
出处
《海军航空工程学院学报》
2014年第1期14-18,共5页
Journal of Naval Aeronautical and Astronautical University
基金
航空科学基金资助项目(20105584004)
泰山学者建设工程专项经费资助项目
