摘要
本文根据模糊分类的技术,提出了一种利用目标雷达散射截面(RCS)幅度时间序列来提取目标特征量、应用模糊数学原理进行综合判决的目标识别方法,给出了利用该方法和外场全尺寸目标静态RCS测量数据,对五种飞机和导弹目标进行特征提取和模糊识别的结果。
In the paper a fuzzy classification technique for radar target recognition is proposed, where the target features are extracted from radar cross section (RCS) magnitude signatures and the fuzzy mathematical approaches are used for classification. To show the effectiveness of the current technique, some experiments are made by using the suggested technique and the RCS data collected by out-door range measurements for five ful -size targets including aircraft and missiles. Satisfactory results are obtained.
出处
《系统工程与电子技术》
EI
CSCD
1992年第6期1-9,共9页
Systems Engineering and Electronics
关键词
目标识别
雷达
截面
幅度
信息
Target recognition, Radar cross section, Target signature, Fuzzy classification.
