针对数字调制识别在低信噪比下的应用,提出一种基于瞬时特征参数的数字调制识别算法.该算法一方面利用 5 个相对简单的瞬时特征参数改善算法的复杂度,简化识别过程;另一方面,设计一种小波滤波器,对瞬时特征参数进行消噪处理,提高调制识别算法在低信噪比下的识别性能.同时,该算法只需在中频直接对信号进行识别,计算简单,易于实现.通过计算机仿真表明:在信噪比不低于 5 dB 的情况下,该算法对不同调制信号的正确识别率均达到 90 % 以上.%An algorithm of digital modulation recognition based on instantaneous characteristic parameters is proposed for the application under low signal-to-noise ratio(SNR). On one hand, the algorithm uses five relatively simple instantaneous characteristic parameters, which can improve the complexity of the algorithm and simplify the recognition process. On the other hand, a wavelet filter is designed to denoise instantaneous characteristic parameters,which can improve modulation identification ability a under Iow SNR. In addition, the algorithm directly recognizes signals in medium frequency, which is easy to compute and realize. Experimental results show that the recognition sucess rate is over 90 ％ for different modulation signal when SNR is not lower than 5 dB.
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