• DocumentCode
    394845
  • Title

    Acquisition of m-sequences using recursive soft sequential estimation

  • Author

    Yang, Lie-Liang ; Hanzo, Lajos

  • Author_Institution
    Dept. of Electron. & Comput. Sci., Southampton Univ., UK
  • Volume
    1
  • fYear
    2003
  • fDate
    20-20 March 2003
  • Firstpage
    683
  • Abstract
    A novel sequential estimation method is proposed for the initial synchronization of pseudonoise (PN) signals derived from m-sequences. This sequential estimation method is designed based on the principle of iterative soft-in-soft-out (SISO) decoding, and hence we refer to it as the recursive soft sequential estimation (RSEE) acquisition scheme. The RSSE acquisition scheme exhibits a complexity similar to that of a conventional m-sequence generator, which increases only linearly with the number of stages in the m-sequence generator. Furthermore, our simulation results show that the acquisition time of the proposed RSEE acquisition scheme is also linearly dependent on the number of stages in the m-sequence generator. Hence, the employment of the proposed RSEE acquisition scheme is beneficial for employment in the acquisition of long m-sequences.
  • Keywords
    iterative decoding; m-sequences; pseudonoise codes; recursive estimation; sequential estimation; spread spectrum communication; synchronisation; RSSE acquisition scheme; SISO; iterative soft-in-soft-out decoding; m-sequence generator; pseudonoise signals synchronization; recursive soft sequential estimation acquisition scheme; soft-in-soft-out decoding; Binary sequences; Design methodology; Employment; Feedback; Iterative decoding; Iterative methods; Logic; Noise generators; Recursive estimation; Shift registers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
  • Conference_Location
    New Orleans, LA, USA
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-7700-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2003.1200433
  • Filename
    1200433