Space-time Adaptive Processing

Space-Time Adaptive Processing is a signal processing technique that jointly exploits spatial and temporal degrees of freedom in radar systems to adaptively suppress clutter by forming optimized weight vectors across antenna elements and pulse-to-pulse intervals.

553

Publications

29.3K

Citations

899

Authors

332

Institutions

Publications per year

2017–2026

94

Variants

Stap

Authors

899

  1. MC
    Michael C. Wicks

    United States Air Force Research Laboratory, United States

    28 publications · 1.5K citations

    19

    h-index

  2. WL
    William L. Melvin

    Georgia Institute of Technology, United States

    24 publications · 2.2K citations

    17

    h-index

  3. BH
    Braham Himed

    United States Air Force Research Laboratory, United States

    17 publications · 912 citations

    16

    h-index

  4. MR
    Muralidhar Rangaswamy

    United States Air Force Research Laboratory, United States

    18 publications · 983 citations

    15

    h-index

  5. GL
    Guisheng Liao

    Xidian University, China

    17 publications · 1K citations

    14

    h-index

1–5 of 899

Venues

  1. 41

    h-index

  2. IEEE Transactions on Signal Processing

    38 publications · 3.1K citations

    28

    h-index

  3. IEE Proceedings - Radar Sonar and Navigation

    20 publications · 1.1K citations

    18

    h-index

  4. IEEE Geoscience and Remote Sensing Letters

    GRSL · 18 publications · 1K citations

    17

    h-index

  5. IET Radar Sonar & Navigation

    38 publications · 824 citations

    17

    h-index

1–5