摘要
同轴跟踪无线电测控系统中,通常利用滤波外推算法将滤波器估计的目标角位置与天线实时角位置的角误差作为伺服系统位置环路的输入以驱动天线跟踪目标。然而,伴随目标跟踪过程中接收机热噪声、杂波干扰等不利因素的制约,随机误差分量会严重影响算法的稳定性,文中对自适应滤波算法进行了改进,引入UD因式分解和野值剔除算法以防止滤波过程的不稳定。仿真结果表明改进算法具有较好的数值稳定性和系统跟踪精度。
Kalman filter algorithm is usually used in on-ax wireless measure and control system in hopes of estimating target's position. In the system,the angle error between real-time angle position of antenna and the estimated angle position is usual used as the input for position closed control loop in servo subsystem which will drive the antenna to track target. However,because there are many disadvantages caused by some random factors such as receiver noise,clutter interference and so on,some random errors will influence the stability of the algorithm seriously. This paper expects to improve the adaptive filter algorithm in order to prevent the instability of the filtering process by using UD factorization algorithm and outlier eliminating algorithm. Through simulation,it shows that the improved algorithm has good numerical stability and tracking accuracy.
出处
《舰船电子工程》
2017年第6期25-28,共4页
Ship Electronic Engineering
