A parallel decoding algorithm for short polar codes based on error checking and correcting.

We propose a parallel decoding algorithm based on error checking and correcting to improve the performance of the short polar codes. In order to enhance the error-correcting capacity of the decoding algorithm, we first derive the error-checking equations generated on the basis of the frozen nodes, a...

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Detalles Bibliográficos
Publicado en:Scientific World Journal pp. 895782 - 895783
Autores principales: Zhang, Yingxian, Pan, Xiaofei, Pan, Kegang, Ye, Zhan, Gong, Chao
Formato: Journal Article
Publicado: Wiley-Blackwell 2014
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A parallel decoding algorithm for short polar codes based on error checking and correcting.
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          Zhang, Yingxian
          Pan, Xiaofei
          Pan, Kegang
          Ye, Zhan
          Gong, Chao
      sug:
      ab: We propose a parallel decoding algorithm based on error checking and correcting to improve the performance of the short polar codes. In order to enhance the error-correcting capacity of the decoding algorithm, we first derive the error-checking equations generated on the basis of the frozen nodes, and then we introduce the method to check the errors in the input nodes of the decoder by the solutions of these equations. In order to further correct those checked errors, we adopt the method of modifying the probability messages of the error nodes with constant values according to the maximization principle. Due to the existence of multiple solutions of the error-checking equations, we formulate a CRC-aided optimization problem of finding the optimal solution with three different target functions, so as to improve the accuracy of error checking. Besides, in order to increase the throughput of decoding, we use a parallel method based on the decoding tree to calculate probability messages of all the nodes in the decoder. Numerical results show that the proposed decoding algorithm achieves better performance than that of some existing decoding algorithms with the same code length.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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