| RFID调制信号自动识别方法的研究 |
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| 引用本文： | 张松华,何怡刚.RFID调制信号自动识别方法的研究[J].计算机科学,2010,37(9):75-76. |
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| 作者姓名： | 张松华 何怡刚 |
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| 作者单位： | 1. 湖南工学院电气与信息工程系,衡阳421002;湖南大学电气与信息工程学院,长沙410082
2. 湖南大学电气与信息工程学院,长沙,410082 |
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| 基金项目： | 国家863计划，国家自然科学基金项目，湖南省科技计划项目 |
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| 摘 要： | 提出了一种基于软件无线电的RFID调制识别方法.该方法设计了一种用遗传算法全局优化BP网络拓扑结构的调制识别分类器.与传统BP神经网络方法相比,该方法加快了网络的收敛速度,提高了收敛精度且识别率较高.仿真结果表明,该方法在较低信噪比情况下可达到很高的识别效率.
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| 关 键 词： | 软件无线电 GA-BP神经网络 调制识别 |
Research on Automatic Classification of RFID Modulation Signal |
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| ZHANG Song-hu,HE Yi-gang.Research on Automatic Classification of RFID Modulation Signal[J].Computer Science,2010,37(9):75-76. |
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| Authors: | ZHANG Song-hu HE Yi-gang |
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| Affiliation: | (Department of Electrical and Information Engineering, Hunan Institute oI Technology, Hengyang 421002,China);(School of Electrical and Information Engineering, Hunan University,Changsha 410082,China) |
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| Abstract: | This paper proposed a classification method of RFID(Radio Frectuency Identification) modulation signal hased on software radio. I}he global optimization of the topology of BP(hack propagation) network fusing with GA was proposed, and a recognition classifier of GA-BP nerual network was designed. Compared with traditional algorithms of BP, the method Improves the convergent rate and convergent precision. Moreover, the recognition rate is very high. The result of the experiments proves it can get high classification efficiency under low SNR. |
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| Keywords: | RFID |
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