• DocumentCode
    547478
  • Title

    Fast adaptive optimal basis search algorithm for PAPR reduction

  • Author

    Jiao-jun, Li ; Heng, Li ; Li-yun, Su

  • Author_Institution
    Sch. of Electron. Inf. & Autom., Chongqing Univ. of Technol., Chongqing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    666
  • Lastpage
    671
  • Abstract
    In wavelet packet modulation system, wavelet packet basis has a significant impact on the system´s performance. To solve the defects of Best basis Selection (BBS) algorithm and Brutal Force Algorithm (BFA), this paper proposed a novel search algorithm for optimal wavelet packet basis. This algorithm decomposes the whole wavelet packet library from top to bottom by its binary branch, use Peak to Average Power Ratio (PAPR) and competitive decision to select optimal basis. Simulation results indicated that: the proposed algorithm was 15%-20% faster than BBS algorithm; 8-15 times faster than BFA algorithm, the selected optimal basis significantly reduces the PAPR without any BER degradation.
  • Keywords
    adaptive signal processing; modulation; search problems; PAPR reduction; adaptive optimal basis search algorithm; competitive decision; optimal wavelet packet basis; peak to average power ratio; wavelet packet modulation system; Best basis selection; Brutal force algorithm; Optimal basis; PAPR; Wavelet packet modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5953306
  • Filename
    5953306