Subspace Beamforming

Subspace Beamforming is a beamforming technique that exploits the orthogonal decomposition of signal and noise subspaces derived from the covariance matrix of array inputs to enhance directional selectivity by applying spatial filters that suppress interference and noise outside the signal subspace.

92

Publications

8.4K

Citations

239

Authors

122

Institutions

Publications per year

2017–2026

21

Authors

239

  1. HA
    Habti Abeida

    Centre National de la Recherche Scientifique, France

    3 publications · 355 citations

    3

    h-index

  2. MJ
    Ming Jin

    Harbin Institute of Technology, China

    3 publications · 111 citations

    3

    h-index

  3. RC
    Rodrigo C. de Lamare

    University of York, United Kingdom

    3 publications · 157 citations

    3

    h-index

  4. JC
    Jingdong Chen

    Northwestern Polytechnical University, China

    2 publications · 41 citations

    2

    h-index

  5. XX
    Xiaoliang Xu

    Hangzhou Dianzi University, China

    2 publications · 96 citations

    2

    h-index

1–5 of 239

Venues

  1. Signal Processing

    11 publications · 521 citations

    11

    h-index

  2. IEEE Transactions on Signal Processing

    7 publications · 786 citations

    7

    h-index

  3. 5

    h-index

  4. IEEE Transactions on Vehicular Technology

    3 publications · 120 citations

    3

    h-index

  5. IEEE Communications Letters

    3 publications · 50 citations

    3

    h-index

1–5