• DocumentCode
    2125490
  • Title

    An Improved Method for the Convergence of Iterative Detection in Turbo-CPM System

  • Author

    Xue Rui ; Zhao Dan-feng ; Zhu Tie-lin

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Based on the decomposed model of continuous phase modulation (CPM), CPM is divided into a continuous phase encoder (CPE) and a memoryless modulator (MM). Using the memorial and recursive character of CPE, combined with turbo code and random interleaver, the model of Turbo-CPM system is founded. In order to solve the problem of positive feedback during iteration with short frame, a method based on weighed extrinsic information exchange is proposed. Theoretic analysis and simulation results show that the proposed method can not only prevent the phenomena of positive feedback from taking place, reduce the error floor and improve the performance of BER under the condition of low SNR, but also reduce the average number of iteration and enhance the real-time. Furthermore, the method can avoid the conversion from probability to likelihood ratio and its inversion in the process of transferring extrinsic information, and reduce the complexity of decoding algorithm.
  • Keywords
    continuous phase modulation; feedback; iterative decoding; probability; turbo codes; BER; continuous phase encoder; continuous phase modulation; iterative detection; likelihood ratio; memoryless modulator; positive feedback; random interleaver; turbo code; turbo-CPM system; weighed extrinsic information exchange; Bandwidth; Bit error rate; Continuous phase modulation; Convergence; Feedback; Iterative algorithms; Iterative decoding; Iterative methods; Modulation coding; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5302993
  • Filename
    5302993