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APPLICATION OF NEURAL NETWORK INVERSE CONTROL SYSTEM IN TURBO DECODING
作者姓名:Dong  Zhenghong  Wang  Yuanqin
作者单位:The Academy of Equipment Command & Technology, Beijing 101416, China
摘    要:Adaptive inverse control system can improve the performance of turbo decoding, and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is proposed in this paper. Compared with linear filter with its revision, the general relationship between the input and output of the inverse model of turbo decoding system can be established exactly by Nonlinear Auto-Regressive eXogeneous input (NARX) filter. Combined with linear inverse system, it has simpler structure and costs less computation, thus can satisfy the demand of real-time turbo decoding. Simulation results show that neural network inverse control system can improve the performance of turbo decoding further than other linear control system.

关 键 词:神经网络  自适应反向控制  译码模型  turbo码
收稿时间:2005-06-01
修稿时间:2006-02-27

Application of neural network inverse control system in turbo decoding
Dong Zhenghong Wang Yuanqin.APPLICATION OF NEURAL NETWORK INVERSE CONTROL SYSTEM IN TURBO DECODING[J].Journal of Electronics,2007,24(1):27-31.
Authors:Dong Zhenghong  Wang Yuanqin
Affiliation:The Academy of Equipment Command& Technology, Beijing 101416, China
Abstract:Adaptive inverse control system can improve the performance of turbo decoding, and modeling turbo decoder is one of the most important technologies. A neural network model for the inverse model of turbo decoding is proposed in this paper. Compared with linear filter with its revision, the general relationship between the input and output of the inverse model of turbo decoding system can be established exactly by Nonlinear Auto-Regressive eXogeneous input (NARX) filter.Combined with linear inverse system, it has simpler structure and costs less computation, thus can satisfy the demand of real-time turbo decoding. Simulation results show that neural network inverse control system can improve the performance of turbo decoding further than other linear control system.
Keywords:Neural network  Adaptive inverse control  Decoding model  Turbo codes
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