• DocumentCode
    81160
  • Title

    A New Class of Multiple-Rate Codes Based on Block Markov Superposition Transmission

  • Author

    Chulong Liang ; Jingnan Hu ; Xiao Ma ; Baoming Bai

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Sun Yat-sen Univ., Guangzhou, China
  • Volume
    63
  • Issue
    16
  • fYear
    2015
  • fDate
    Aug.15, 2015
  • Firstpage
    4236
  • Lastpage
    4244
  • Abstract
    The Hadamard transform (HT) over the binary field provides a natural way to implement multiple-rate codes (referred to as HT-coset codes), where the code length N=2p is fixed but the code dimension K can be varied from 1 to N-1 by adjusting the set of frozen bits. The HT-coset codes, including Reed-Muller (RM) codes and polar codes as typical examples, can share the same fundamental encoder/decoder architecture with the implementation complexity of order O(NlogN). However, to guarantee that all codes with designated rates perform well, HT-coset coding usually requires a sufficiently large code length, which, in turn, causes difficulties in the determination of which bits are better for being frozen. In this paper, we propose to transmit short HT-coset codes in the so-called block Markov superposition transmission (BMST) manner. At the transmitter, signals are spatially coupled via superposition, resulting in long codes. At the receiver, these coupled signals are recovered by a sliding-window iterative soft successive cancellation decoding algorithm. Most importantly, the performance around or below the bit-error-rate (BER) of 10-5 can be predicted by a simple genie-aided lower bound. Both these bounds and simulation results show that the BMST of short HT-coset codes performs well (within one dB away from the corresponding Shannon limits) in a wide range of code rates.
  • Keywords
    Hadamard codes; Hadamard transforms; Markov processes; binary codes; computational complexity; error statistics; iterative decoding; radio receivers; BER; BMST; HT-coset code; Hadamard transform; binary field; bit error rate; block Markov superposition transmission; multiple rate code; receiver; signal recovery; simple genie-aided lower bound; sliding window iterative soft successive cancellation decoding algorithm; Codecs; Convolutional codes; Decoding; Encoding; Parity check codes; Signal processing algorithms; Transforms; Fast Hadamard transform (HT); iterative soft successive cancellation; multiple-rate codes; short polar codes; spatial coupling;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2015.2439234
  • Filename
    7114334