An improved Single-Pulse Radar Ranging Algorithm Based on Fuzzy Logic Control
Zhao Mei · Jisuanji fangzhen · 2008
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 α,and through on line adjusting the coefficient α to achieve real-time 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.