基于空频域信息的简化UKF算法研究

Research on Simplified UKF Algorithm Based on Spatial-frequency Domain Information

针对无源定位必须实现快速和稳定定位跟踪的要求,在传统定位方法基础上引入角度变化率和多普勒频率变化率信息;在此基础上提出了一种基于空频域信息的简化不敏卡尔曼滤波(UKF)算法并对其定位性能进行分析;仿真结果表明简化的UKF算法在大大降低运算量(和EKF算法相当)的同时能保持和标准UKF算法同样的定位性能并且要明显优于EKF算法;增加高精度的角度变化率和多普勒频率变化率信息能够显著改善定位性能。

To satisfy the requirement of high location speed and stability,the information of angle changing rate and Doppler changing rate is introduced into the traditional location method.An simplified unscented Kalman filter（UKF） algorithm based on spatial-frequency domain information is presented and an explicit analysis of its location performance is made.Simulation results show that the simplified UKF algorithm has higher precision and faster convergence than the EKF algorithm,and can get the same performance as that of the standard UKF algorithm with much less computational cost.The location performance can be improved significantly with the additional information of the angle changing rate and Doppler changing rate.