| 基于多特征参量模糊数据融合的辐射源识别 |
| |
| 引用本文： | 陈怀新,南建设.基于多特征参量模糊数据融合的辐射源识别[J].国际商务研究,2003,43(5):11-14. |
| |
| 作者姓名： | 陈怀新 南建设 |
| |
| 作者单位： | 中国西南电子技术研究所，中国西南电子技术研究所 四川成都610036，四川大学电子信息学院，四川成都610064，四川成都610036 |
| |
| 摘 要： | 针对多特征的辐射源识别,采用对辐射源信号特征参数的模糊化表征,建立了多特征、多目标的模糊评价矩阵以及模糊属性综合评判函数,提出了多属性判决函数的融合判决方法进行二次评判的综合识别,从而提高目标识别的准确率和可靠性。仿真结果证实了本文提出方法的有效性。
|
| 关 键 词： | 非协同目标识别 辐射源识别 特征参量 模糊数据融合 综合评判 |
| 修稿时间： | 2003/7/3 0:00:00 |
Emitter Recognition Using Fuzzy-based Multi-feature Data Fusion |
| |
| CHEN Huai-xin.Emitter Recognition Using Fuzzy-based Multi-feature Data Fusion[J].International Business Research,2003,43(5):11-14. |
| |
| Authors: | CHEN Huai-xin |
| |
| Institution: | CHEN Huai-xin~ |
| |
| Abstract: | As for the emitter recognition, the feature parameters of emitters are processed by fuzzification, fuzzy membership matrix and fuzzy attribute decision functions is represented respectively. The second synthesis decision making for emitter recognition is proposed to efficiently improve the recognition probability and reliability, The simulation results show the method proposed in this paper is efficient. |
| |
| Keywords: | Non-cooperative target identification Emitter recognition Feature parameters Fuzzy-based data fusion Synthesis decision making |
|
| 点击此处可从《国际商务研究》浏览原始摘要信息 |
| 点击此处可从《国际商务研究》下载免费的PDF全文 |
