• DocumentCode
    2160408
  • Title

    The LD-RLS algorithmwith directional forgetting implemented on a vector-like hardware accelerator

  • Author

    Bartosinski, Roman

  • Author_Institution
    Dept. of Signal Process., UTIA AV CR, Prague, Czech Republic
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1657
  • Lastpage
    1660
  • Abstract
    The paper discusses an RLS algorithm based on the LDU decomposition (LD-RLS) with directional forgetting implemented on an embedded system with a vector-oriented hardware accelerator. The LD-RLS algorithm can be attractive for control applications to identify an unknown system or to track time-varying parameters. A solution of the LD-RLS algorithm directly contains the estimated parameters. It also offers a possibility to use a priori information about the identified system and its parameters. The implementation of the LD-RLS algorithm is done on an FPGA-based accelerator from a high-level abstraction. It is compared with an implementation of the same algorithm in software on the same platform.
  • Keywords
    embedded systems; field programmable gate arrays; floating point arithmetic; least squares approximations; matrix decomposition; recursive estimation; vector processor systems; FPGA; LD-RLS algorithm; LDU decomposition; directional forgetting implementation; embedded system; high-level abstraction; time-varying parameter tracking; vector oriented hardware accelerator; Bismuth; Digital signal processing; Hardware; Matrix decomposition; Signal processing algorithms; Software; Software algorithms; FPGA; LDU decomposition; RLS; directional forgetting; hardware accelerator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946817
  • Filename
    5946817