Clutter Statistics Modeling

Clutter Statistics Modeling is a mathematical framework that characterizes the statistical properties of unwanted radar backscatter by specifying the probability distribution, temporal-spatial correlation, and spectral features distinguishing it from target signals in radar environments.

1K

Publications

48.5K

Citations

1.8K

Authors

606

Institutions

Publications per year

2017–2026

189

Variants

Radar Clutter Statistical Modeling

Authors

1.8K

  1. AF
    Alfonso Farina

    SELEX Sistemi Integrati, Italy

    35 publications · 2.3K citations

    24

    h-index

  2. FG
    Fulvio Gini

    University of Pisa, Italy

    34 publications · 2.8K citations

    24

    h-index

  3. SW
    Simon Watts

    Thales (United Kingdom), United Kingdom

    32 publications · 2.3K citations

    21

    h-index

  4. MG
    Maria Greco

    University of Pisa, Italy

    27 publications · 2.3K citations

    20

    h-index

  5. EC
    E. Conte

    University of Naples Federico II, Italy

    22 publications · 2.6K citations

    19

    h-index

1–5 of 1.8K

Venues

  1. 63

    h-index

  2. 33

    h-index

  3. IEEE Transactions on Signal Processing

    41 publications · 3K citations

    27

    h-index

  4. IET Radar Sonar & Navigation

    49 publications · 1.5K citations

    25

    h-index

  5. IEE Proceedings - Radar Sonar and Navigation

    35 publications · 1.6K citations

    23

    h-index

1–5