摘要
空间分集接收可补偿信道衰落,提出了一种基于幅相联合激励法的连续多阈值神经元反馈神经网络(RNNCMVN)的光基带信号直接盲检测方法。针对多进制相移键控(MPSK)信号的特点,设计了两种连续相位多阈值激励函数形式,并简要讨论了该两类激励函数参数的选择;分别推演基于幅相联合激励法的RNNCMVN光基带信号盲检测方法工作于同步和异步两种模式下的新能量函数及其相关证明。同时针对正交调幅(QAM)信号的特点,分别设计出连续振幅和相位多阈值激励函数形式,最后通过仿真验证了该方法的有效性。
Spatial diversity reception can be used over wireless optical links to resist channel fading. A novel blind optical baseband signals detection direct algorithm is proposed by using recurrent neural network based on continuous multi-valued neurons (RNNCMVN) with amplitude and phase continuous activation (APCA). Considering the characteristics of mary phase shift keying (MPSK) signals, two types of continuous multi-valued activation functions are designed and the method of selecting their parameters is illustrated briefly. The new energy functions of synchronous and asynchronous mode of the RNNCMVN are derived and proved, respectively. Considering the characteristics of quadrature amplitude modulation (QAM) signals, the new continuous amplitude and phase multivalued activation functions are designed and discussed, respectively. Finally, simulation results demonstrate the effectiveness of the proposed method.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2012年第11期45-54,共10页
Acta Optica Sinica
基金
国家自然科学基金面上项目(60777005
61078023)资助课题
关键词
光通信
相干探测
反馈神经网络
连续多阈值神经元
能量函数
optical communications
coherent detection
recurrent neural network
continuous multi-valuedneurons
energy function