| M-QAM信号的调制制式识别 |
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| 引用本文： | 詹亚锋,曹志刚,马正新.M-QAM信号的调制制式识别[J].通信学报,2004,25(2):68-74. |
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| 作者姓名： | 詹亚锋 曹志刚 马正新 |
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| 作者单位： | 清华大学,电子工程系微波与数字通信国家重点实验室,北京,100084 |
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| 基金项目： | 清华大学“985”基金资助项目(A-2-09) |
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| 摘 要： | 提出了一种M-QAM信号的识别算法。该算法不需要预先知道信号的波特率、载波频率,而是首先从接收信号中估计出这些参数,然后进行插值、解卷、聚类,最后得到识别结果。仿真表明,在信噪比大于8dB且码元数目大于400时,最终的识别率超过了95%。该算法有望用于实际的非协作通信系统中信号的检测和快速识别。
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| 关 键 词： | M-QAM 调制制式识别 波特率 载波频率 估计 解卷 盲聚类 |
| 文章编号： | 1000-436X(2004)02-0068-07 |
| 修稿时间： | 2003年4月4日 |
Modulation classification of M-QAM signals |
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| ZHAN Ya-feng,CAO Zhi-gang,MA Zheng-xin.Modulation classification of M-QAM signals[J].Journal on Communications,2004,25(2):68-74. |
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| Authors: | ZHAN Ya-feng CAO Zhi-gang MA Zheng-xin |
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| Abstract: | This paper proposed a modulation recognition algorithm for M-QAM signals. This scheme does not require the prior information about baud rate and carry frequency of the received signals. These parameters are estimated first, then interpolation, deconvolution, clustering and recognition are performed. Computer simulations show that the correct recognition ratio is larger than 95% under the condition that the SNR is higher than 8dB and more than 400 symbols are used. So it is suitable for the practical application of signal detection and fast recognition in non-cooperation communication systems. |
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| Keywords: | M-QAM modulation classification baud rate carry frequency estimation deconvolution blind clustering |
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