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Wireless optical communication system blind equalization method based on output feedback bias type complex continuous recurrent neural network (RNN) structure

A technology of wireless optical communication and network structure, which is applied in the field of blind equalization in the electrical domain of wireless optical communication systems, which can solve the problems of heavy computing burden and the inability to reduce too much dependence on algorithms

Active Publication Date: 2013-04-03
WENZHOU UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to disclose a complex continuous algorithm based on output feedback bias in order to overcome the defects of the existing artificial neural network-based signal blind processing method or the inability to reduce the excessive dependence of the algorithm on the amount of data, or the computational burden is quite heavy. Blind Equalization Method for Wireless Optical Communication System Based on Feedback Neural Network Structure

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  • Wireless optical communication system blind equalization method based on output feedback bias type complex continuous recurrent neural network (RNN) structure
  • Wireless optical communication system blind equalization method based on output feedback bias type complex continuous recurrent neural network (RNN) structure
  • Wireless optical communication system blind equalization method based on output feedback bias type complex continuous recurrent neural network (RNN) structure

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Embodiment Construction

[0029] A blind equalization method for a wireless optical communication system based on an output feedback bias type complex continuous feedback neural network structure, comprising the following steps:

[0030] The first step feedback power supply bias DTCS complex RNN neural network structure

[0031] Without loss of generality, considering the real RNN neural network, the input and output of the jth neuron at time t are as follows: figure 1 The RNN neural network shown here is named as the feedback bias type RNN neural network (time is not discretized). Assuming that the network has N synaptic inputs, the jth synaptic input s in the structure j with its weight w jj perform multiplication and other N-1 synaptic inputs s i (t), i=1, 2,..., N, i≠j and their respective weights w ji , i=1, 2,..., N, i≠j values ​​after multiplication are jointly performed on the current and (Current-summing) to obtain the connection weight output Then the network neural output passes throug...

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Abstract

The invention relates to a wireless optical communication system blind equalization method based on an output feedback bias type complex continuous RNN structure. The method includes firstly providing a feedback power supply bias continuous time discrete state (DTCS) complex RNN structure; then achieving dynamic equation configuration of a DTCS feedback voltage bias complex RNN neutral network of multi-valued quadrature amplitude modulation (QAM) blind equalization; configuring a weight matrix of the feedback network; and finally obtaining a bias factor rho. Through introduction of the feedback voltage bias, not only the existing RNN neural network model is not broken away, but also physical realization of the network is simple, and the special requirement for enlarged searching space needed by multi-valued signal detection can be satisfied effectively.

Description

technical field [0001] The invention relates to the technical field of signal processing of wireless optical communication, especially in the case that the channel between the transmitter and receiver of wireless laser communication has a fading characteristic, using a complex continuous feedback neural network based on output feedback bias to realize the electrical domain of the wireless optical communication system method of blind equalization. Background technique [0002] Pulse Amplitude Modulation (PAM, Pulse Amplitude Modulation), especially on-off keying, has been the main modulation scheme in optical communication systems. Differential Quadrature Phase Shift Keying (DQPSK, Differential Quadrature PhaseShift) modulation format has achieved good results in optical transmission technology. application. In recent years, octal differential quadrature phase shift keying (8DPSK), which has attracted much attention, is a multi-ary modulation based on DQPSK. It can transmit ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03H04L1/06
Inventor 阮秀凯李昌谈燕花张耀举蔡启博
Owner WENZHOU UNIVERSITY
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