中文说明：
雷达数据处理对于观测的目标位置数据（称为点迹）进行滤波处理，自动形成航迹，并且可以对下一个目标的位置进行估计预测。利用最小二乘算法（LMS）进行滤波处理，得到了比较稳定的航迹估计。 最小二乘方法是参数估计中一种较为常见的参数估计方法。对于雷达观测数据，在我们假定已经精确知道航迹的运动学模型之后，通过建立观测方程，即可以对于模型的参数，如初速度，初始位置和加速度等进行最小均方误差估计。采用序贯最小二乘的方法可以对观测数据进行实时处理，已对待估计参数进行实时更新，然后利用观测模型可以对数据进行滤波计算。
English Description：
Radar data processing for target location observation data (called point trace) filtering processing, automatic track formation, and can estimate projections for the location of the next target.By using the least squares algorithm (LMS) filter processing, has been relatively stable track is estimated._ least-square method is a kind of more common parameter estimation methods of parameter estimation.On radar observation data, we assume that already know precisely track the kinematics model, through the establishment of observation equations, which can be for the parameters of the model, the same speed, the initial position and acceleration of minimum mean square error estimation.Adopt the method of sequential least squares can be real-time processing of observed data, has been treated to estimate parameters are updated in real time, observation model is then used to filter the data calculated.