Joint Channel Estimation

Joint Channel Estimation is a channel estimation method that simultaneously infers multiple channel parameters or states within a shared statistical or signal model, distinguishing itself from sequential or isolated estimation techniques by exploiting interdependencies among the parameters to improve accuracy and robustness.

1.1K

Publications

46.6K

Citations

2.3K

Authors

688

Institutions

Publications per year

2017–2026

391

Authors

2.3K

  1. LH
    Lajos Hanzo

    University of Southampton, United Kingdom

    17 publications · 1.3K citations

    15

    h-index

  2. FG
    Feifei Gao

    Tsinghua University, China

    17 publications · 1.5K citations

    15

    h-index

  3. SJ
    Shi Jin

    Southeast University, China

    13 publications · 1.6K citations

    13

    h-index

  4. QG
    Qinghua Guo

    University of Wollongong, Australia

    12 publications · 766 citations

    12

    h-index

  5. AL
    André L. F. de Almeida

    Universidade Federal do Ceará, Brazil

    13 publications · 527 citations

    12

    h-index

1–5 of 2.3K

Venues

  1. IEEE Transactions on Wireless Communications

    111 publications · 6.9K citations

    46

    h-index

  2. IEEE Transactions on Communications

    102 publications · 5.6K citations

    43

    h-index

  3. IEEE Transactions on Signal Processing

    94 publications · 6.6K citations

    41

    h-index

  4. IEEE Transactions on Vehicular Technology

    88 publications · 3.2K citations

    34

    h-index

  5. IEEE Communications Letters

    41 publications · 2.4K citations

    24

    h-index

1–5