摘要
针对目标机动信息估计时的状态方程非线性及目标机动频率未知的特点,对三维线性卡尔曼滤波器的状态量进行了扩维。利用扩展卡尔曼滤波器(EKF)完成了目标机动信息估计算法设计,并通过仿真验证了不同条件下滤波器对目标机动频率、机动加速度及加加速度的估计特性。同时,对滤波器估值误差的收敛性进行了仿真评估,验证了算法的有效性。
For the characteristics of the nonlinear state equation and the unknown target maneuvering frequency on target maneuvering information estimation,the state of three-dimensional linear Kalman filter is extended. The extended Kalman filter is used to design target maneuvering information estimation algorithm,and by simulation the estimate characteristics of target maneuveing frequency,acceleration and jerk under different conditions are verified. The convergence of the estimation error is simulated and evaluated,and the effectiveness of the algorithm is verified.
出处
《航空兵器》
2016年第1期40-44,共5页
Aero Weaponry
基金
航空科学基金项目(20110112001)
