Matched Field Processing

Matched Field Processing is a model-based signal processing technique in underwater acoustics that belongs to the class of array processing methods, distinguished by its use of detailed ocean acoustic propagation models to match measured hydrophone array data with theoretical field predictions for source localization.

307

Publications

13.5K

Citations

510

Authors

196

Institutions

Publications per year

2017–2026

70

Authors

510

  1. WA
    W. A. Kuperman

    Scripps Institution of Oceanography, United States

    28 publications · 2.8K citations

    21

    h-index

  2. WS
    William S. Hodgkiss

    Scripps Institution of Oceanography, United States

    22 publications · 1.1K citations

    18

    h-index

  3. PG
    Peter Gerstoft

    University of California San Diego, United States

    16 publications · 975 citations

    16

    h-index

  4. AT
    A. Tolstoy

    United States Naval Research Laboratory, United States

    10 publications · 566 citations

    10

    h-index

  5. ZM
    Zoi-Heleni Michalopoulou

    New Jersey Institute of Technology, United States

    11 publications · 344 citations

    10

    h-index

1–5 of 510

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 154 publications · 7.4K citations

    46

    h-index

  2. IEEE Journal of Oceanic Engineering

    31 publications · 2K citations

    21

    h-index

  3. Journal of Computational Acoustics

    11 publications · 404 citations

    11

    h-index

  4. IEEE Transactions on Signal Processing

    7 publications · 336 citations

    7

    h-index

  5. Geophysical Journal International

    GJI · 6 publications · 241 citations

    6

    h-index

1–5