Spatial Spectrum Estimation

Spatial Spectrum Estimation is a signal processing technique that characterizes the distribution of signal power over directions of arrival in a sensor array, distinguishing itself by enabling the identification and localization of multiple sources in a spatial domain through the analysis of spatial frequency content.

222

Publications

14.6K

Citations

578

Authors

235

Institutions

Publications per year

2017–2026

73

Authors

578

  1. MG
    Moeness G. Amin

    Villanova University, United States

    6 publications · 589 citations

    6

    h-index

  2. JR
    John R. Buck

    University of Massachusetts Dartmouth, United States

    6 publications · 178 citations

    6

    h-index

  3. KS
    K.C. Sharman

    University of Strathclyde, United Kingdom

    5 publications · 85 citations

    5

    h-index

  4. TD
    T.S. Durrani

    University of Strathclyde, United Kingdom

    5 publications · 85 citations

    5

    h-index

  5. FH
    F. Haber

    University of Pennsylvania, United States

    5 publications · 569 citations

    5

    h-index

1–5 of 578

Venues

  1. IEEE Transactions on Signal Processing

    25 publications · 4K citations

    19

    h-index

  2. The Journal of the Acoustical Society of America

    JASA · 8 publications · 256 citations

    8

    h-index

  3. IEEE Signal Processing Letters

    8 publications · 578 citations

    8

    h-index

  4. IEEE Transactions on Vehicular Technology

    6 publications · 533 citations

    7

    h-index

  5. Sensors

    8 publications · 166 citations

    7

    h-index

1–5