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Modulation recognition based on constellation diagram for M-QAM signals

机译:基于星座图的M-QAM信号调制识别

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This paper proposed a modulation recognition algorithm for M-QAM signals by the constellation diagram which does not require the prior information. Firstly, this scheme estimates the modulation parameters. Secondly, it reconstructs the received signals' constellation and uses k-means cluster algorithm to compute the number of the signal constellation points which are as a recognition feature used for classification. The experimental simulation results proves that this method is effective for M-QAM signals, and the correct recognition ratio reaches 100% under the condition that the SNR is higher than 15dB. So it has relatively preferable practical value.
机译:本文通过星座图提出了一种不需要先验信息的M-QAM信号调制识别算法。首先,该方案估计调制参数。其次,重建接收信号的星座图,并使用k-means聚类算法计算信号星座图点的数量,作为分类的识别特征。实验仿真结果表明,该方法对M-QAM信号有效,在信噪比大于15dB的情况下,正确识别率达到100%。因此具有相对较好的实用价值。

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