雷达目标距离剖面图像的特征编码与多模匹配识别

Identification of Radar Target Range Profile by Using Characteristic Coding and Multiple Modelled Matching

本文针对雷达目标距离剖面图像识别这一具体应用背景，提出了一种基于姿态角变化区域序贯划分、特征编码及多模匹配的模式识别新方法；其特点是通过多模匹配克服一般编码方法在给定的误判概率限制下对姿态角变化范围的容纳性有限的缺点，通过序贯划分来确定各模式中姿态角变化的容纳范围及边界；这种方法具有能适应目标特征随姿态角的变化以及能控制识别中的差错概率α等优点。

In this paper,we present a novel pattern recognition method based on sequential separating of regions of target angles, characteristic coding and multiple modelled matching for radar target range profile identification application Multiple modelled matching is used here to overcome the disadvantage of poor pennissibitity of general coding method to variation of target angles. Sequential separating is used to determine the size and area of every region for each model.The method has the advantages of adaption to feature variation and false probabitity control in classifica-tion