基于支持向量机的多传感器空中目标识别研究  

Multi-Sensors Target Recognition based on the Support Vector Machine

作　　者：刘海燕[1,2] 陈红林[1] 史志富[2] 何艳萍[1,2] 

机构地区：[1]西北工业大学电子信息学院,陕西西安710072 [2]第二炮兵工程学院,陕西西安710025

出　　处：《火力与指挥控制》2009年第8期93-96,104,共5页Fire Control & Command Control

摘　　要：针对空中目标识别的复杂性,将支持向量机引入对空中目标的多传感器识别,对其机理进行了详细分析,建立了基于支持向量机的空中目标识别的算法模型。仿真实验的结果表明,该方法具有很好的识别效果,并且是一种能在训练样本很少的情况下达到很好分类推广能力的学习算法。Focusing on the problem of the air target recognition, the support vector machine （SVM） as the classification was introduced. The mechanism of the SVM was particularly analyzed and the algorithm and method of target recognition based on the SVM was built. The simulation results show that the algorithm has a better recognition result and the algorithm is a learning algorithm which has good classification ability for limited training data set.

关 键 词：目标识别 支持向量机 多传感器 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]