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Application of neural network inverse control system in turbo decoding

  • Published:
Journal of Electronics (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.

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Authors and Affiliations

  1. The Academy of Equipment Command & Technology, Beijing, 101416, China

    Dong Zhenghong Ph.D. (male, lecturer) & Wang Yuanqin

Authors
  1. Dong Zhenghong Ph.D.
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  2. Wang Yuanqin
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Correspondence to Dong Zhenghong Ph.D..

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Dong, Z., Wang, Y. Application of neural network inverse control system in turbo decoding. J. of Electron.(China) 24, 27–31 (2007). https://doi.org/10.1007/s11767-005-0092-z

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  • DOI: https://doi.org/10.1007/s11767-005-0092-z

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