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Grid-less T.V minimization for DOA estimation

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posted on 2025-05-10, 12:40 authored by Kaushik Mahata, Md Mashud Hyder
We present a grid-less version of the L1-SVD algorithm for direction of arrival estimation. The resulting semidefinite programming approach is a globally convergent, fully parametric method capable of working with two dimensional arrays with any arbitrary sensor configurations. It is computationally efficient, and shows improved performance when compared with other popular alternatives. The analysis also allows us to formulate the SPICE algorithm in gridless manner.

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Related Materials

  1. 1.
    DOI - Is published in https://doi.org/10.1016/j.sigpro.2016.09.018
  2. 2.
    ISSN - Is version of https://portal.issn.org/resource/ISSN/0165-1684

Journal title

Signal Processing

Volume

132

Issue

March

Pagination

155-164

Publisher

Elsevier

Language

  • en, English

College/Research Centre

Faculty of Engineering and Built Environment

School

School of Electrical Engineering and Computer Science

Rights statement

©2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

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    Keywords

    DOA estimationsparse recoverygrid-less methodstotal variationarbitrary geometryatomic norm

    Licence

    CC BY-NC-ND 4.0

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