Distributed Target Tracking

Distributed Target Tracking is a distributed estimation framework in which spatially separated sensor nodes collaboratively detect, localize, and predict the motion of targets by fusing local observations through in-network communication, without relying on a centralized fusion center.

198

Publications

11.3K

Citations

508

Authors

216

Institutions

Publications per year

2017–2026

59

Authors

508

  1. FH
    Franz Hlawatsch

    TU Wien, Austria

    8 publications · 238 citations

    8

    h-index

  2. GB
    Giorgio Battistelli

    University of Florence, Italy

    8 publications · 1K citations

    8

    h-index

  3. OH
    Ondrej Hlinka

    TU Wien, Austria

    7 publications · 220 citations

    7

    h-index

  4. LC
    Luigi Chisci

    University of Florence, Italy

    7 publications · 937 citations

    7

    h-index

  5. PM
    Petar M. Djurić

    Stony Brook University, United States

    7 publications · 226 citations

    7

    h-index

1–5 of 508

Venues

  1. IEEE Transactions on Signal Processing

    9 publications · 1K citations

    9

    h-index

  2. IEEE Sensors Journal

    8 publications · 280 citations

    8

    h-index

  3. 6

    h-index

  4. IEEE Signal Processing Letters

    4 publications · 244 citations

    4

    h-index

  5. IEEE Transactions on Cybernetics

    4 publications · 751 citations

    4

    h-index

1–5