基于UKF算法的单站无源定位

Single Observer Passive Location Based on UKF Algorithm

摘要:

机载单站无源定位具有机动性好、作用范围广等特点,而基于相位差变化率的定位方法又具有定位速度快、精度高等优点。文章研究了Unscented Kalman Filter (UKF)在机载单站无源定位中的应用,给出了相位差变化率定位方法的原理,介绍了UKF算法的滤波原理及滤波过程。从仿真结果表明,UKF算法应用在机载单站无源定位中,能够精确定位,快速收敛。

Abstract:

Airborne single observer passive location has the characteristics of mobility and a wide range impaction, while location method based on the rate change of phase different also has the characteristic of getting the position quickly and having a high precision. The application of the Unscented Kalman Filter (UKF) in airborne single observer passive location was studied. The principle of the position method was given based on the rate change of phase different. And the filtering principle and the filtering process of the UKF algorithm more introduced. The simulation results showed that the UKF algorithm used in airborne single observer passive location had an accurately positioning and rapid convergence.