Adaptive Matched Field Processing

Adaptive Matched Field Processing is a signal processing methodology within underwater acoustics that extends conventional matched field processing by incorporating data-dependent adaptive weighting to enhance source localization accuracy in uncertain or time-varying oceanic environments.

27

Publications

2K

Citations

69

Authors

33

Institutions

Publications per year

2017–2026

6

Authors

69

  1. WA
    W. A. Kuperman

    Scripps Institution of Oceanography, United States

    5 publications · 1.1K citations

    5

    h-index

  2. WS
    William S. Hodgkiss

    Scripps Institution of Oceanography, United States

    4 publications · 163 citations

    4

    h-index

  3. HC
    H. C. Song

    Scripps Institution of Oceanography, United States

    3 publications · 81 citations

    3

    h-index

  4. JC
    James C. Preisig

    Woods Hole Oceanographic Institution, United States

    2 publications · 28 citations

    2

    h-index

  5. CF
    C. Feuillade

    Stennis Space Center, United States

    2 publications · 39 citations

    2

    h-index

1–5 of 69

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 11 publications · 505 citations

    10

    h-index

  2. IEEE Journal of Oceanic Engineering

    6 publications · 1.1K citations

    6

    h-index

  3. IEEE Transactions on Signal Processing

    3 publications · 133 citations

    3

    h-index

  4. 2

    h-index

  5. Procedia Engineering

    1 publications · 11 citations

    1

    h-index

1–5