• Acta Optica Sinica
  • Vol. 32, Issue 11, 1106001 (2012)
Ruan Xiukai1、2、* and Zhang Yaoju1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/aos201232.1106001 Cite this Article Set citation alerts
    Ruan Xiukai, Zhang Yaoju. Blind Optical Baseband Signals Detection Using Recurrent Neural Network Based on Continuous Multi-Valued Neurons[J]. Acta Optica Sinica, 2012, 32(11): 1106001 Copy Citation Text show less

    Abstract

    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 multi-valued activation functions are designed and discussed, respectively. Finally, simulation results demonstrate the effectiveness of the proposed method.
    Ruan Xiukai, Zhang Yaoju. Blind Optical Baseband Signals Detection Using Recurrent Neural Network Based on Continuous Multi-Valued Neurons[J]. Acta Optica Sinica, 2012, 32(11): 1106001
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