加权KNN分类器在HRRP库外目标拒判中的应用

针对雷达自动目标识别中的库外目标拒判问题，提出了一种人工生成库外样本的方法和一种加权k最邻近(k nearest neighbors, KNN)分类器。通过人工生成库外高分辨距离像样本，解决了在训练阶段无法获取库外样本的难题。加权KNN分类器同时满足了基于问题和基于数据两大设计要求，能够很好地处理拒判问题。通过基于接收机工作特性(receiver operating characteristic，ROC)准则和基于损失函数准则的仿真实验，证明了加权KNN分类器具备优良的拒判性能。

Application of a weighted KNN classifier for HRRP out-of-database target rejection

To cope with the out-of-database target rejection problem in radar automatic target recognition(ATR),a method that artificially generates out-of-database examples and a weighted k nearest neighbors(KNN) classifier are proposed.By artificially generating out-of-database high-resolution range profiles(HRRPs),the problem of acquiring out-of-database examples during the training step is solved.The weighted KNN classifier is both problem-dependent and data-dependent,and thus it is well suited for the associated ...