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电子学报  2013 

基于实虚型连续多值复数Hopfield神经网络的QAM盲检测

DOI: 10.3969/j.issn.0372-2112.2013.02.008, PP. 255-259

Keywords: QAM信号,实虚型连续多值复数Hopfield神经网络,盲检测,含公零点信道

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Abstract:

针对统计量算法盲检测QAM信号的缺陷,该文提出了一个实虚型连续多值复数Hopfield神经网络算法,该网络的实部、虚部各含一个连续多值实激活函数.该文构造了适用于该网络的能量函数,并分别在异步和同步更新模式下证明了该神经网的稳定性.当该神经网的权矩阵借助接收数据补投影算子构成时,该实虚型连续多值复数Hopfield神经网络可有效地实现QAM信号盲检测.仿真试验表明:该算法采用较短接收数据即可到达全局真解点,并且适用于含公零点信道.

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