摘要
针对某型号雷达在对飞行器的初始段跟踪测量过程中,由于受地杂波影响较大,存在跟踪稳定性较差、测距精度偏低的问题,提出对雷达测距跟踪环路采用模糊自适应扩展Kalman滤波取代模糊自适应常规Kalman滤波的方法。方法主要是通过引进估计误差方差阵的加权系数α,通过在滤波过程中对系数α进行"在线"调整,来实现对滤波器噪声方差阵的实时调整,从而优化了滤波器执行最优估计的性能,达到了增强雷达设备跟踪稳定性和提高测距精度的目的。仿真结果表明,该模糊自适应扩展Kalman滤波器跟踪目标稳定性和精度高于模糊自适应常规Kalman滤波器。
In this paper, a method of using Fuzzy Adaptive extended Kalman filter is proposed to replace the conventional adaptive fuzzy Kalman filtering method. This method is mainly through the introduction of the weighted factor ct, and through ＂on line＂ adjusting the coefficient α to achieve realtime adjustment of the filter noise variance array of , thus optimizing the implementation of the filter optimal performance estimates, and enhancing the tracking stability of radar equipment and improving ranging accuracy. The simulation results show that the fuzzy adaptive extended Kalman filter has higher tracking stability and accuracy.
出处
《计算机仿真》
CSCD
2008年第11期32-35,59,共5页
Computer Simulation
