• DocumentCode
    2320547
  • Title

    Distributed Adaptive Incremental Strategies: Formulation and Performance Analysis

  • Author

    Lopes, Cassio G. ; Sayed, Ali H.

  • Author_Institution
    Dept. of Electr. Eng., California Univ., Los Angeles, CA
  • Volume
    3
  • fYear
    2006
  • fDate
    14-19 May 2006
  • Abstract
    An adaptive distributed estimation strategy is developed based on incremental gradient techniques. The proposed scheme addresses the problem of distributed linear estimation in a cooperative fashion, resulting in a distributed algorithm that can respond in real time to changes in the environment. Each node is allowed to communicate only with its immediate neighbor in order to exploit the spatial dimension while at the same time reducing the communications burden. A spatial-temporal energy conservation argument is used to evaluate the steady-state mean-square-error performance of the individual nodes across the adaptive distributed network. Computer simulations illustrate the results
  • Keywords
    adaptive estimation; adaptive signal processing; gradient methods; mean square error methods; adaptive distributed estimation strategy; distributed adaptive incremental strategies; distributed linear estimation; incremental gradient techniques; spatial-temporal energy conservation; steady-state mean-square-error; Adaptive systems; Computer simulation; Distributed algorithms; Distributed processing; Energy conservation; Intelligent sensors; Joining processes; Performance analysis; Personal communication networks; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
  • Conference_Location
    Toulouse
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0469-X
  • Type

    conf

  • DOI
    10.1109/ICASSP.2006.1660721
  • Filename
    1660721