| 单通道双MFSK信号调制识别方法 |
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| 引用本文： | 赵春晖,杜宇,杨伟超. 单通道双MFSK信号调制识别方法[J]. 黑龙江大学自然科学学报, 2012, 0(4): 541-545 |
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| 作者姓名： | 赵春晖 杜宇 杨伟超 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(61077079) |
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| 摘 要： | 针对单通道双MFSK信号的调制识别问题,提出了一种基于经验模态分解(EMD)和分形盒维数的调制识别算法。该算法利用EMD将混有高斯噪声的双MFSK混合信号分解成多个分量,提取每个分量的分形盒维数作为特征参数,使用BP神经网络作为分类器对其进行识别。仿真结果表明,该算法对频谱不混叠的双MFSK信号有较好的识别效果。
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| 关 键 词： | 调制识别 多信号 经验模态分解 分形盒维数 多进制频移键控 |
Modulation recognition method for two MFSK signals in single-channel |
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| ZHAO Chun-hui,DU Yu,YANG Wei-chao. Modulation recognition method for two MFSK signals in single-channel[J]. Journal of Natural Science of Heilongjiang University, 2012, 0(4): 541-545 |
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| Authors: | ZHAO Chun-hui DU Yu YANG Wei-chao |
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| Affiliation: | (College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China) |
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| Abstract: | According to the problem of modulation recognition of two MFSK signals in single-channel,a modulation recognition algorithm based on empirical mode decomposition(EMD) and fractal box dimension is proposed.Firstly,the algorithm uses EMD to decompose the two MFSK signals mixed with Gaussian noise into multiple components,then extracts fractal box dimension of each component as characteristic parameters,and BP neural network is employed as classifier to recognize them.The results of simulation show that the algorithm has better performance on two MFSK signals with the non-overlapping spectrum. |
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| Keywords: | modulation recognition multiple signals empirical mode decomposition fractal box dimension MFSK |
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