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TWO-Snapshot Doa estimation Via hankel-structured matrix completion

Bokaei, M ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/ICASSP43922.2022.9747041
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. In this paper, we study the problem of estimating the direction of arrival (DOA) using a sparsely sampled uniform linear array (ULA). Based on an initial incomplete ULA measurements, our strategy is to choose a sparse subset of array elements for measuring the next snapshot. Then, we use a Hankel-structured matrix completion to interpolate for the missing ULA measurements. Finally, the source DOAs are estimated using a subspace method such as Prony on the fully recovered ULA. We theoretically provide a sufficient bound for the number of required samples (array elements) for perfect recovery. The numerical comparisons of the proposed method with existing techniques such as atomic-norm minimization and off-the-grid approaches confirm the superiority of the proposed method. © 2022 IEEE
  6. Keywords:
  7. Direction of arrival ; Matrix completion ; Non-unifrom sampling ; Off-the-grid compressed sensing ; Super-resolution ; Matrix algebra ; Numerical methods ; Array elements ; Array measurements ; Compressed-Sensing ; Directionof-arrival (DOA) ; Matrix completion ; Non-unifrom sampling ; Off-the-grid compressed sensing ; Structured-Matrices ; Superresolution ; Uniform linear arrays ; Direction of arrival
  8. Source: 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, 23 May 2022 through 27 May 2022 ; Volume 2022-May , 2022 , Pages 5018-5022 ; 15206149 (ISSN); 9781665405409 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/9747041