Joint State Estimation

Joint State Estimation is a multisensor data integration framework that simultaneously fuses time-synchronized measurements from multiple sensors to estimate a shared system state, distinguishing itself from sequential or isolated estimation approaches by jointly resolving both state variables and synchronization parameters within a unified optimization or filtering process.

546

Publications

26.4K

Citations

1.4K

Authors

553

Institutions

Publications per year

2017–2026

236

Authors

1.4K

  1. FD
    Feng Ding

    Jiangnan University, China

    7 publications · 491 citations

    8

    h-index

  2. SW
    Shunli Wang

    Southwest University of Science and Technology, China

    5 publications · 142 citations

    6

    h-index

  3. YL
    Yan Liang

    Northwestern Polytechnical University, China

    4 publications · 95 citations

    5

    h-index

  4. FY
    Feng Yang

    Northwestern Polytechnical University, China

    4 publications · 92 citations

    5

    h-index

  5. QP
    Quan Pan

    Northwestern Polytechnical University, China

    5 publications · 172 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. IEEE Transactions on Signal Processing

    20 publications · 1.3K citations

    17

    h-index

  2. 14

    h-index

  3. Automatica

    13 publications · 819 citations

    12

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 11 publications · 642 citations

    12

    h-index

  5. IEEE Transactions on Power Systems

    10 publications · 1.2K citations

    10

    h-index

1–5