Source Position Estimation

Source Position Estimation is a computational method within acoustic localization and tracking that determines the spatial coordinates of a sound source by analyzing acoustic signals received at multiple sensors, distinguished from other localization techniques by its focus on directly inferring the source's position from propagation characteristics such as time differences, amplitude variations, or phase shifts.

1.5K

Publications

73.4K

Citations

3.5K

Authors

1K

Institutions

Publications per year

2017–2026

427

Authors

3.5K

  1. KC
    K. C. Ho

    University of Missouri, United States

    25 publications · 2.8K citations

    22

    h-index

  2. FA
    Fabio Antonacci

    Politecnico di Milano, Italy

    15 publications · 958 citations

    14

    h-index

  3. SG
    Sharon Gannot

    Bar-Ilan University, Israel

    18 publications · 708 citations

    14

    h-index

  4. AS
    Augusto Sarti

    Politecnico di Milano, Italy

    13 publications · 738 citations

    12

    h-index

  5. KY
    Kung Yao

    University of California, Los Angeles, United States

    12 publications · 1K citations

    12

    h-index

1–5 of 3.5K

Venues

  1. IEEE Transactions on Signal Processing

    67 publications · 7.7K citations

    42

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 124 publications · 6K citations

    38

    h-index

  3. IEEE/ACM Transactions on Audio Speech and Language Processing

    TASLP · 36 publications · 1.6K citations

    27

    h-index

  4. IEEE Signal Processing Letters

    30 publications · 1.8K citations

    22

    h-index

  5. Signal Processing

    41 publications · 2.4K citations

    22

    h-index

1–5