Sensor Self-calibration

Sensor Self-Calibration is a computational framework within array processing that enables an array of sensors to autonomously estimate and correct their own calibration parameters, such as gain, phase, and position errors, without recourse to external or known calibration sources.

333

Publications

13.8K

Citations

1.2K

Authors

399

Institutions

Publications per year

2017–2026

103

Authors

1.2K

  1. AA
    Alexander A. Trusov

    University of California, Irvine, United States

    6 publications · 206 citations

    6

    h-index

  2. AM
    Andrei M. Shkel

    University of California, Irvine, United States

    6 publications · 203 citations

    6

    h-index

  3. RS
    Roland Siegwart

    ETH Zurich, Switzerland

    6 publications · 753 citations

    6

    h-index

  4. IP
    Igor P. Prikhodko

    University of California, Irvine, United States

    6 publications · 167 citations

    6

    h-index

  5. DD
    Derek D. Lichti

    University of Calgary, Canada

    5 publications · 482 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. Sensors

    15 publications · 505 citations

    13

    h-index

  2. IEEE Sensors Journal

    10 publications · 347 citations

    10

    h-index

  3. 9

    h-index

  4. Measurement

    8 publications · 183 citations

    8

    h-index

  5. 7

    h-index

1–5