一种新的机载预警雷达地面目标过滤方法

地面目标过滤是机载预警雷达航迹优化的一个重要内容，可以有效地改善航迹质量，该问题实质上是一个空地目标分类问题。在引入联合目标跟踪与分类思想的基础上，研究了一种基于空地目标运动特征差异的目标分类方法。首先，采用包含目标所有可能机动的交互式多模型对目标进行跟踪，然后利用估计的目标运动特征参数和贝叶斯分类器完成两类目标的分类。仿真结果表明，在目标机动条件下，该方法能够对空地目标进行有效的分类。

A Novel Ground Target Filtering Algorithm for Airborne Early Warning Radar

The ground target filtering, which can improve quality of target track effectively, is an important part of track optimization in airborne early warning radar. Practically, it＇s a problem of air target and ground target classification. On the basis of introducing joint target tracking and classification, a method of target classification based on kinematic feature difference between air target and ground target is proposed. First, interactive multiple model（IMM） containing all possible maneuvers of target is used to perform target tracking, and then the estimated target kinematic features parameters and Bayesian classifier are adopted to perform target classification. The simulation results show that the method can implement classification of air target and ground target effectively when the targets in maneuvering.