Blind Channel Estimation

Blind Channel Estimation is a channel estimation technique that belongs to the class of methods requiring no explicit pilot or training sequences, distinguished by its reliance solely on statistical properties of the transmitted signal and received observations to infer the channel state.

944

Publications

39.4K

Citations

1.5K

Authors

552

Institutions

Publications per year

2017–2026

124

Authors

1.5K

  1. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    35 publications · 3.5K citations

    25

    h-index

  2. JT
    J.K. Tugnait

    Auburn University, United States

    27 publications · 1K citations

    19

    h-index

  3. LT
    Lang Tong

    Cornell University, United States

    23 publications · 3.3K citations

    17

    h-index

  4. DS
    Dirk Slock

    EURECOM, France

    19 publications · 858 citations

    15

    h-index

  5. AP
    A. Paulraj

    Stanford University, United States

    20 publications · 1.6K citations

    14

    h-index

1–5 of 1.5K

Venues

  1. IEEE Transactions on Signal Processing

    181 publications · 10.2K citations

    54

    h-index

  2. IEEE Transactions on Communications

    59 publications · 3.2K citations

    29

    h-index

  3. IEEE Signal Processing Letters

    44 publications · 2.5K citations

    25

    h-index

  4. IEEE Transactions on Wireless Communications

    46 publications · 2.8K citations

    25

    h-index

  5. IEEE Transactions on Vehicular Technology

    40 publications · 1.5K citations

    23

    h-index

1–5