Centralized Fusion

Centralized Fusion is a track-to-track fusion architecture in which all local tracks are transmitted to a central node that performs global state estimation by jointly processing raw measurements or track data from multiple sensors, thereby ensuring optimal information utilization through complete system observability.

51

Publications

2.4K

Citations

126

Authors

59

Institutions

Publications per year

2017–2026

16

Authors

126

  1. SS
    Shuli Sun

    Heilongjiang University, China

    6 publications · 279 citations

    6

    h-index

  2. JL
    J. Linares‐Pérez

    Universidad de Granada, Spain

    4 publications · 80 citations

    4

    h-index

  3. ZD
    Zili Deng

    Heilongjiang University, China

    3 publications · 108 citations

    3

    h-index

  4. WL
    Wenqiang Liu

    Heilongjiang University, China

    3 publications · 108 citations

    3

    h-index

  5. AH
    A. Hermoso‐Carazo

    Universidad de Granada, Spain

    3 publications · 66 citations

    3

    h-index

1–5 of 126

Venues

  1. 5

    h-index

  2. IEEE Transactions on Signal Processing

    3 publications · 467 citations

    3

    h-index

  3. International Conference on Information Fusion

    Conference · 2 publications · 55 citations

    2

    h-index

  4. Signal Processing

    1 publications · 52 citations

    2

    h-index

  5. IEEE Sensors Journal

    2 publications · 148 citations

    2

    h-index

1–5