| 基于时频分析和RBF神经网络的调制识别 |
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| 引用本文： | 赵知劲,周云水,尚俊娜. 基于时频分析和RBF神经网络的调制识别[J]. 压电与声光, 2004, 26(4): 328-330 |
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| 作者姓名： | 赵知劲 周云水 尚俊娜 |
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| 作者单位： | 1. 西安电子科技大学综合业务网及关键技术国家重点实验室,西安,710071;杭州电子科技大学,杭州,310018
2. 杭州电子科技大学,杭州,310018 |
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| 摘 要： | 提出了利用Wigner-Ville分布区分FSK、PSK、FM和BSS信号的自动调制样式识别方法，利用Wigner-Ville分布提取调制信号的瞬时频率特征，用径向基(RBF)神经网络根据提取的特征参数识别这四种信号，计算机仿真结果证实了该方法的有效性和正确性。
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| 关 键 词： | 调制识别 Wigner-Ville分布 径向基函数 神经网络 |
| 文章编号： | 1004-2474(2004)04-0328-03 |
| 修稿时间： | 2003-11-20 |
Modulation Recognition Based on the Time Frequency Analysis and RBF Neural Network |
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| ZHAO Zhi-jin. Modulation Recognition Based on the Time Frequency Analysis and RBF Neural Network[J]. Piezoelectrics & Acoustooptics, 2004, 26(4): 328-330 |
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| Authors: | ZHAO Zhi-jin |
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| Affiliation: | ZHAO Zhi-jin~ |
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| Abstract: | This paper studies an automatic modulation recognition method using Wigner-Ville distribution (WVD) to distinguish FSK signal, PSK signal, FM signal and SSB signal. The basic idea of this approach is to use the WVD to extract the instantaneous frequency feature of a modulation signal and to use a radial base function(RBF) neural network to classify these four signals according to the feature parameters. Performance of this method is assessed via computer simulations. |
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| Keywords: | modulation recognition Wigner-Ville distribution radial base function neural network |
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