Matched Filter Detection

Matched Filter Detection is a signal detection method in cognitive radio that belongs to the class of optimal linear filters and is distinguished by its maximization of signal-to-noise ratio at the sampling instant through cross-correlation of the received signal with a known template of the anticipated signal waveform.

367

Publications

22.9K

Citations

4.1K

Authors

725

Institutions

Publications per year

2017–2026

72

Authors

4.1K

  1. DB
    D. Brown

    University of Michigan, United States

    8 publications · 897 citations

    8

    h-index

  2. IW
    I. W. Harry

    Max Planck Institute for Gravitational Physics, Germany

    7 publications · 829 citations

    7

    h-index

  3. HL
    Hongbin Li

    Stevens Institute of Technology, United States

    6 publications · 173 citations

    6

    h-index

  4. SF
    S. Fairhurst

    Cardiff University, United Kingdom

    5 publications · 764 citations

    5

    h-index

  5. DI
    D. I. Jones

    University of Southampton, United Kingdom

    5 publications · 775 citations

    5

    h-index

1–5 of 4.1K

Venues

  1. IEEE Transactions on Signal Processing

    22 publications · 1.4K citations

    18

    h-index

  2. 14

    h-index

  3. 13

    h-index

  4. IEEE Transactions on Communications

    12 publications · 487 citations

    12

    h-index

  5. 9

    h-index

1–5