基于RCS特征的谐振区舰船目标识别

利用谐振区RCS特征对舰船目标进行识别.深入研究了频率预先优化选择问题,提出了一种新的基于最小分类错误准则的频率选择方法,用以改善目标识别性能.给出了一种基于多类目标假设检验理论的带有拒绝判定目标出现门限的近邻分类器.对五类舰船目标识别的仿真结果表明,新的选频方法显著提高了识别性能;扩展的近邻分类器表现出较为理想的拒判能力.

Ship target identification of resonance regions based on RCS

Ship targets are identified using RCS features of resonance regions.In order to improve the target identification performance,a radar working frequency optimization selection is investigated.A new optimization selection method is given based on the minimum classification error(MCE) rule.A extended nearest neighbor classifier having a rejected threshold is presented based on the multi-type hypothesis testing theory.Target identification simulations indicate that the new frequency optimization method improves the identification performance observably,and the extended nearest neighbor classifier displays good reject ability.