针对空中机动目标的被动定位跟踪问题,提出了一种先用静态估计理论对空中目标进行最小二乘估计,再采用基于“当前”统计模型的自适应滤波算法进行滤波处理的方法,取得了比最小二乘估计与卡尔曼滤波相结合的算法更好的效果。仿真结果表明,在跟踪非机动目标时,该算法和最小二乘估计与卡尔曼滤波结合的办法相当;在跟踪机动目标时,该算法的误差明显小于原算法。 Aiming at the problem of passive positioning and tracking of maneuvering targets in the air, a method of least squares estimation of airborne targets by static estimation theory and adaptive filtering algorithm based on “current” statistical model is presented. Least Squares Estimation and Kalman Filtering Algorithms Combining Better Effects. The simulation results show that the proposed method is equivalent to Kalman filter when tracking non-maneuvering targets. The error of this algorithm is obviously smaller than the original algorithm when tracking maneuvering targets.