Air Data Signal Processing

Air Data Signal Processing is a methodological framework within aerospace engineering that specifically processes raw sensor outputs from air data systems to derive accurate and reliable atmospheric and aircraft performance parameters by filtering, calibrating, and compensating for environmental and instrumental errors.

19

Publications

456

Citations

49

Authors

23

Institutions

Publications per year

2017–2026

4

Authors

49

  1. SA
    Stephen A. Whitmore

    Utah State University, United States

    4 publications · 161 citations

    4

    h-index

  2. TJ
    Thomas J. Rohloff

    University of California, Los Angeles, United States

    3 publications · 120 citations

    3

    h-index

  3. IC
    I. Catton

    University of California, Los Angeles, United States

    3 publications · 120 citations

    3

    h-index

  4. ML
    Mario Luca Fravolini

    University of Perugia, Italy

    2 publications · 92 citations

    2

    h-index

  5. GD
    Giuseppe Del Core

    Parthenope University of Naples, Italy

    2 publications · 92 citations

    2

    h-index

1–5 of 49

Venues

  1. Journal of Aircraft

    2 publications · 79 citations

    2

    h-index

  2. Control Engineering Practice

    1 publications · 37 citations

    1

    h-index

  3. 1

    h-index

  4. Journal of Guidance Control and Dynamics

    1 publications · 28 citations

    1

    h-index

  5. AIAA Atmospheric Flight Mechanics Conference and Exhibit

    Conference · 1 publications · 11 citations

    1

    h-index

1–5