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为了快速自动识别低信噪比下的数字幅度调制进制,提出了一种识别M进制正交幅度调制(M-QAM)和M进制幅度键控(M-A SK)的调制进制的方法。该方法利用优化的缩放尺度对信号进行小波变换,以识别M-QAM和M-A SK信号的调制进制,并进行了仿真。仿真结果表明:仅利用100个观测符号,当信噪比大于或等于-4 dB时,M-QAM信号的正确识别率大于93%;当信噪比大于或等于-10 dB时,M-A SK信号的正确识别率大于90%。这说明该方法在低信噪比下能够快速获得很好的识别性能。
In order to quickly and automatically identify the digital amplitude modulation system with low signal-to-noise ratio (SNR), a method to recognize the modulation system of M-QAM and MA SK is proposed . In this method, the signal is wavelet transformed with the optimized scaling scale to recognize the modulation system of M-QAM and M-A SK signals and the simulation is carried out. The simulation results show that the correct recognition rate of M-QAM signal is above 93% when the signal-to-noise ratio is greater than or equal to -4 dB using only 100 observation symbols. When the SNR is greater than or equal to -10 dB, the MA SK signal The correct recognition rate of more than 90%. This shows that the method can obtain good recognition performance quickly at low signal-to-noise ratio.