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A Recognition Algorithm for M-QAM Based on Amplitude Distribution

机译:基于幅度分布的M-QAM识别算法

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摘要

An automatic recognition algorithm for MQAM based on the amplitude distribution is proposed. This algorithm uses the normalized amplitude distribution to achieve automatic recognition for MQAM signals, and enhances the correct recognition rate through the nonlinear amplification. Compared with the recognition algorithm based on amplitude moment, this algorithm does not need those prior conditions, such as carrier frequency offset, code element rate, amplitude factor and so on. The simulation confirmed that, when SNR≥16dB the correct recognition rate of this algorithm is greater than 90%.
机译:提出了一种基于幅度分布的MQAM自动识别算法。该算法利用归一化的幅度分布来实现对MQAM信号的自动识别,并通过非线性放大来提高正确的识别率。与基于幅度矩的识别算法相比,该算法不需要载波频率偏移,码元速率,幅度因子等先验条件。仿真证实,当SNR≥16dB时,该算法的正确识别率大于90%。

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