Adaptive Beamforming

Adaptive Beamforming is a signal processing technique in array systems that dynamically adjusts the complex weights of sensor elements to enhance the reception or transmission of signals in desired directions while suppressing interference and noise, distinguished from conventional beamforming by its data-dependent optimization of the beam pattern in real time.

1.8K

Publications

95.5K

Citations

3.6K

Authors

961

Institutions

Publications per year

2017–2026

389

Authors

3.6K

  1. RC
    Rodrigo C. de Lamare

    University of York, United Kingdom

    28 publications · 1K citations

    18

    h-index

  2. WL
    Wei Liu

    University of Sheffield, United Kingdom

    25 publications · 790 citations

    17

    h-index

  3. SA
    Sergiy A. Vorobyov

    University of Alberta, Canada

    18 publications · 2.9K citations

    16

    h-index

  4. AG
    A.B. Gershman

    McMaster University, Canada

    17 publications · 3K citations

    16

    h-index

  5. TK
    Tapan K. Sarkar

    Syracuse University, United States

    17 publications · 790 citations

    14

    h-index

1–5 of 3.6K

Venues

  1. IEEE Transactions on Signal Processing

    142 publications · 14.6K citations

    59

    h-index

  2. IEEE Transactions on Antennas and Propagation

    91 publications · 6.7K citations

    41

    h-index

  3. 31

    h-index

  4. IRE Transactions on Antennas and Propagation

    41 publications · 3.3K citations

    28

    h-index

  5. Signal Processing

    69 publications · 2.7K citations

    27

    h-index

1–5