Recursive Channel Estimation

Recursive Channel Estimation is a recursive signal processing technique in wireless communications that iteratively updates channel state information by incorporating new observation data into prior estimates, thereby enabling real-time tracking of time-varying channel conditions with reduced computational complexity compared to block-based methods.

54

Publications

2K

Citations

126

Authors

68

Institutions

Publications per year

2017–2026

4

Authors

126

  1. KS
    Kyung Sup Kwak

    Inha University, South Korea

    3 publications · 54 citations

    3

    h-index

  2. SH
    Stanley H. Mneney

    University of KwaZulu-Natal, South Africa

    2 publications · 25 citations

    2

    h-index

  3. BW
    Bo Wahlberg

    KTH Royal Institute of Technology, Sweden

    2 publications · 101 citations

    2

    h-index

  4. IB
    Iain B. Collings

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 75 citations

    2

    h-index

  5. OO
    Olutayo O. Oyerinde

    University of the Witwatersrand, South Africa

    2 publications · 25 citations

    2

    h-index

1–5 of 126

Venues

  1. IEEE Transactions on Signal Processing

    7 publications · 245 citations

    7

    h-index

  2. IEEE Transactions on Communications

    5 publications · 182 citations

    5

    h-index

  3. IEEE Transactions on Vehicular Technology

    4 publications · 117 citations

    4

    h-index

  4. IEEE Transactions on Wireless Communications

    4 publications · 112 citations

    4

    h-index

  5. IEEE Communications Letters

    2 publications · 45 citations

    2

    h-index

1–5