摘要
本文研究了一种基于模糊分类的调制信号识别方法,即提取信号时域、频域、功率谱等统计特性,利用模糊分类器进行分类识别。计算机仿真试验表明,该方法在较低信噪比下也能正确识别,且不需要信噪比、载频和码元速率等任何先验信息。
A modulation recognition algorithm, for classifying modulated signals in additive white Gaussian noise environment is presented. The classification technique uses various features of the signal amplitude, frequency, and power spectrum applied to the fuzzy classifier. The validity of this method has shown by the computer simulation even in low signal-to-noise ratio (SNR) condition. The benefits of this technique are that it is simple to implement and requires no prior knowledge.
