Maximum Likelihood Localization

Maximum Likelihood Localization is a model-based acoustic localization method that estimates the source position by maximizing the likelihood function derived from the statistical properties of observed acoustic signals, distinguishing itself from other estimators by its reliance on probabilistic inference under assumed noise models.

277

Publications

18K

Citations

649

Authors

282

Institutions

Publications per year

2017–2026

68

Authors

649

  1. AW
    A.J. Weiss

    Tel Aviv University, Israel

    8 publications · 849 citations

    8

    h-index

  2. KC
    K. C. Ho

    University of Missouri, United States

    8 publications · 3.1K citations

    8

    h-index

  3. KY
    Kung Yao

    University of California, Los Angeles, United States

    6 publications · 708 citations

    6

    h-index

  4. YC
    Y.T. Chan

    Royal Military College of Canada, Canada

    6 publications · 3K citations

    6

    h-index

  5. RE
    Ralph E. Hudson

    University of California, Los Angeles, United States

    6 publications · 708 citations

    6

    h-index

1–5 of 649

Venues

  1. IEEE Transactions on Signal Processing

    30 publications · 6K citations

    25

    h-index

  2. 14

    h-index

  3. The Journal of the Acoustical Society of America

    JASA · 10 publications · 320 citations

    10

    h-index

  4. IEEE Signal Processing Letters

    9 publications · 287 citations

    9

    h-index

  5. IEEE Transactions on Wireless Communications

    8 publications · 596 citations

    8

    h-index

1–5