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针对一般通信信号调制识别方法在低信噪比条件下识别准确率低的问题,提出了一种基于瞬时特征参数、高阶累积量和功率谱特征的联合识别算法。充分利用高阶累积量对噪声成盲性以及功率谱识别MFSK信号特征明显等特性,具有特征参数稳定、易于提取、识别准确率高的优点。计算机仿真证明在信噪比不小于5 dB的情况下,对信号有很高的识别准确率(大于90%)。
Aiming at the problem of low recognition accuracy of general communication signal modulation recognition method under low signal-to-noise ratio (SNR), a joint recognition algorithm based on instantaneous feature parameters, high-order cumulants and power spectrum features is proposed. Making full use of high-order cumulant to blindness to noise and obvious feature of MFSK signal identification by power spectrum, it has the advantages of stable characteristic parameters, easy extraction and high recognition accuracy. Computer simulation shows that the signal has high recognition accuracy (more than 90%) in the case of signal to noise ratio of not less than 5 dB.