Concepedia

Machine Learning For Clutter Suppression

Machine Learning for Clutter Suppression is a methodological framework within radar signal processing that employs machine learning algorithms to distinguish and attenuate unwanted backscattered signals from environmental scatterers, thereby enhancing target detection by exploiting learned patterns in spatiotemporal radar data.

68

Publications

2.1K

Citations

261

Authors

103

Institutions

Publications per year

2017–2026

48

Parents

Publications

68

Radar active antagonism through deep reinforcement learning: A Way to address the challenge of mainlobe jamming

Kang Li, Bo Jiu, Penghui Wang et al. · Signal Processing · 2021 · 92 citations

, , +15

Artificial intelligence techniques for clutter identification with polarimetric radar signatures

Tanvir Islam, Miguel A. Rico‐Ramirez, Dawei Han et al. · Atmospheric Research · 2012 · 87 citations

, , +15

Clutter suppression algorithm based on fast converging sparse Bayesian learning for airborne radar

Zetao Wang, Wenchong Xie, Keqing Duan et al. · Signal Processing · 2016 · 78 citations

, , +14

Target Classification by mmWave FMCW Radars Using Machine Learning on Range-Angle Images

Siddharth Gupta, Prabhat Kumar, Abhinav Kumar et al. · IEEE Sensors Journal · 2021 · 76 citations

, , +17

Synthetic Aperture Radar Ship Detection Using Haar-Like Features

C. P. Schwegmann, W. Kleynhans, B.P. Salmon · IEEE Geoscience and Remote Sensing Letters · 2016 · 71 citations · Full text

, , +14

1–5 of 68

Authors

261

  1. NP
    Nils Pohl

    Ruhr University Bochum, Germany

    2 publications · 48 citations

    2

    h-index

  2. UK
    Uwe Kühnau

    Hella (Germany), Germany

    2 publications · 48 citations

    2

    h-index

  3. KD
    Keqing Duan

    Sun Yat-sen University, China

    2 publications · 109 citations

    2

    h-index

  4. RM
    Rainer Martin

    Ruhr University Bochum, Germany

    2 publications · 48 citations

    2

    h-index

  5. XC
    Xinwei Chen

    Memorial University of Newfoundland, Canada

    2 publications · 49 citations

    2

    h-index

1–5 of 261

Institutions

103

  1. National University of Defense Technology

    Changsha, China

    4 h-index

    9 publications

    323 citations

  2. Xidian University

    Xi'an, China

    4 h-index

    16 publications

    743 citations

  3. University of Electronic Science and Technology of China

    Chengdu, China

    4 h-index

    15 publications

    528 citations

  4. Ruhr University Bochum

    Bochum, Germany

    2 h-index

    3 publications

    71 citations

  5. K Lab (United States)

    Hillsborough, United States

    2 h-index

    2 publications

    27 citations

  6. DEVCOM Army Research Laboratory

    Adelphi, United States

    2 h-index

    2 publications

    27 citations

  7. Beijing Institute of Technology

    Beijing, China

    2 h-index

    5 publications

    152 citations

  8. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    10 publications

    436 citations

1–8 of 103

Venues

  1. 7

    h-index

  2. IEEE Sensors Journal

    5 publications · 162 citations

    5

    h-index

  3. Remote Sensing

    5 publications · 142 citations

    4

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 3 publications · 145 citations

    3

    h-index

  5. Optical Engineering

    2 publications · 27 citations

    2

    h-index

1–5