Covariance-based Localization

Covariance-Based Localization is a statistical signal processing method in acoustic tracking that estimates source position by minimizing the discrepancy between the observed covariance matrix of sensor array measurements and the predicted covariance model derived from spatial propagation characteristics.

23

Publications

923

Citations

61

Authors

39

Institutions

Publications per year

2017–2026

3

Authors

61

  1. AD
    Akhil Datta‐Gupta

    Texas A&M University, United States

    3 publications · 96 citations

    3

    h-index

  2. HK
    Hideaki Koizumi

    Hitachi (Japan), Japan

    2 publications · 41 citations

    2

    h-index

  3. EA
    Elkin Arroyo-Negrete

    Texas A&M University, United States

    2 publications · 83 citations

    2

    h-index

  4. KS
    Kensuke Sekihara

    University of California, San Francisco, United States

    2 publications · 41 citations

    2

    h-index

  5. JG
    J. G. Anderson

    NSF National Center for Atmospheric Research, United States

    2 publications · 73 citations

    2

    h-index

1–5 of 61

Venues

  1. Monthly Weather Review

    3 publications · 224 citations

    3

    h-index

  2. Tellus A Dynamic Meteorology and Oceanography

    1 publications · 34 citations

    1

    h-index

  3. Physics in Medicine and Biology

    1 publications · 18 citations

    1

    h-index

  4. IEEE Transactions on Biomedical Engineering

    1 publications · 23 citations

    1

    h-index

  5. SOLA

    1 publications · 48 citations

    1

    h-index

1–5