Robust Channel Estimation

Robust Channel Estimation is a channel estimation method that maintains high accuracy and reliability under uncertain or adverse conditions, such as noise outliers, model mismatches, or imperfect prior knowledge, by explicitly accounting for and mitigating the effects of such disturbances.

151

Publications

7.5K

Citations

400

Authors

176

Institutions

Publications per year

2017–2026

47

Authors

400

  1. WU
    Wolfgang Utschick

    Technical University of Munich, Germany

    4 publications · 92 citations

    4

    h-index

  2. PA
    Patrick A. Naylor

    Imperial College London, United Kingdom

    4 publications · 53 citations

    4

    h-index

  3. BC
    Badong Chen

    Xi'an Jiaotong University, China

    4 publications · 314 citations

    4

    h-index

  4. DG
    David Gesbert

    EURECOM, France

    4 publications · 234 citations

    4

    h-index

  5. HV
    H. Vincent Poor

    Princeton University, United States

    3 publications · 203 citations

    3

    h-index

1–5 of 400

Venues

  1. IEEE Transactions on Signal Processing

    16 publications · 1.3K citations

    14

    h-index

  2. IEEE Transactions on Wireless Communications

    13 publications · 569 citations

    13

    h-index

  3. IEEE Transactions on Vehicular Technology

    10 publications · 350 citations

    10

    h-index

  4. IEEE Signal Processing Letters

    6 publications · 230 citations

    6

    h-index

  5. IEEE Transactions on Communications

    6 publications · 1.5K citations

    6

    h-index

1–5