提出以相位差变化率为观测量 , UKF 逐步逼近目标位置的定位算法 , 有效解决了单站无源定位中收敛
速度和定位精度问题 。 该算法以相位差变化率为观测量 , 消除了由于相位差中存在固定偏差对定位精度影响 , 提高
了定位精度 。 而引进的 UKF 滤波算法则省去对观测方程的雅各比矩阵计算 , 简化滤波了运算 , 使定位过程更容易实
现 , 从而提高定位滤波运算速度 。(We propose a localization Algorithm which uses phase difference change rate as observation quantity in this paper. UKF
filtering is utilized to approach the position of target step by step. The problem of convergence speed and localization precision is solved
efficiently. The method eliminates the effect of fixed bias in phase difference to localization precision. UKF filtering method used here
eliminates Jacobian matrix calculation for measurement equation , simplifying filtering operation. The localization process is implemented easily
by using this method , thereby the operation speed of localization filtering is increased.)