Self-noise Analysis

Self-Noise Analysis is a methodological framework in passive sonar systems that characterizes and quantifies the intrinsic noise generated by a platform’s own mechanical, hydrodynamic, and electronic sources to distinguish it from external acoustic signals of interest.

96

Publications

3.7K

Citations

272

Authors

141

Institutions

Publications per year

2017–2026

19

Authors

272

  1. CR
    C. R. Hutt

    United States Geological Survey, United States

    4 publications · 255 citations

    4

    h-index

  2. SG
    Stewart Glegg

    Florida Atlantic University, United States

    5 publications · 143 citations

    4

    h-index

  3. VA
    Vadim Agafonov

    Moscow Institute of Physics and Technology, Russia

    3 publications · 78 citations

    3

    h-index

  4. EE
    Egor Egorov

    Moscow Institute of Physics and Technology, Russia

    3 publications · 78 citations

    3

    h-index

  5. PW
    Peter W. Rodgers

    Lawrence Livermore National Laboratory, United States

    3 publications · 72 citations

    3

    h-index

1–5 of 272

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 8 publications · 395 citations

    8

    h-index

  2. IEEE Transactions on Communications

    6 publications · 198 citations

    6

    h-index

  3. Bulletin of the Seismological Society of America

    BSSA · 6 publications · 320 citations

    6

    h-index

  4. IEEE Journal of Oceanic Engineering

    6 publications · 298 citations

    6

    h-index

  5. AIAA Journal

    5 publications · 186 citations

    5

    h-index

1–5