Robust Matched Field Processing

Robust Matched Field Processing is a signal processing framework within matched field processing that enhances source localization performance in underwater acoustics by maintaining accuracy and stability under environmental mismatches and model uncertainties.

23

Publications

787

Citations

45

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

45

  1. WA
    W. A. Kuperman

    Scripps Institution of Oceanography, United States

    5 publications · 155 citations

    5

    h-index

  2. JK
    Jeffrey Krolik

    Duke University, United States

    4 publications · 252 citations

    4

    h-index

  3. JA
    J. A. Shorey

    Duke University, United States

    2 publications · 111 citations

    2

    h-index

  4. HC
    H. C. Song

    Scripps Institution of Oceanography, United States

    2 publications · 68 citations

    2

    h-index

  5. KL
    Kay L. Gemba

    Scripps Institution of Oceanography, United States

    2 publications · 166 citations

    2

    h-index

1–5 of 45

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 15 publications · 526 citations

    14

    h-index

  2. IEEE Journal of Oceanic Engineering

    2 publications · 32 citations

    2

    h-index

  3. IEEE Transactions on Signal Processing

    1 publications · 105 citations

    1

    h-index

  4. Journal of Computational Acoustics

    1 publications · 75 citations

    1

    h-index

  5. Sensors

    1 publications · 14 citations

    1

    h-index

1–5