摘要
针对雷达目标一维距离像识别中的特征子空间法不能判别非训练目标的缺点 ,提出一种非训练目标判别门限 ,在特征子空间法的分类阶段对非训练目标进行判别。仿真实验结果表明 :在特征子空间法中引入该门限 ,既能有效地对非训练目标予以判别 。
By using eigen subspace method (ESM) for radar target recognition, it is impossible to discriminate (or reject) the unknown targets that are not included in training database. This paper uses an unknown target discrimination threshold (UTDT) in classification decision phase of ESM to discriminate the unknown targets. The experimental results of simulation show that combining ESM with a UTDT can effectively discriminate the unknown targets and give high correct classification rate for the known targets which are included in training database.
出处
《电波科学学报》
EI
CSCD
2002年第2期147-150,共4页
Chinese Journal of Radio Science
关键词
雷达目标识别
一维距离像
非训练目标判别门限
radar target recognition, range profile, unknown target discrimination threshold
