| 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 |
| DOI：10.3969/j.issn.1001-893X. |
| 修订日期：2003-07-03 |
| 基金项目: |
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| Emitter Recognition Using Fuzzy-based Multi-feature Data Fusion |
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| 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. |
| Key words: Non-cooperative target identification,Emitter recognition,Feature parameters,Fuzzy-based data fusion,Synthesis decision making |
《电讯技术》编辑部 