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Off-grid localization in mimo radars using sparsity

Abtahi, A ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/LSP.2018.2791447
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. In this letter, we propose a new accurate approach for target localization in multiple-input multiple-output (MIMO) radars, which exploits the sparse spatial distribution of targets to reduce the sampling rate. We express the received signal of a MIMO radar in terms of the deviations of target parameters from the grid points in the form of a block sparse signal using the expansion around all the neighbor points. Applying a block sparse recovery method, we can estimate both the grid-point locations of targets and these deviations. The proposed approach can yield more accurate localization with higher detection probability compared with its counterparts. Moreover, the proposed approach can reduce the computational complexity. © 2018 IEEE
  6. Keywords:
  7. Compressive sensing (CS) ; multiple-input multiple-output (MIMO) radar ; Off-grid localization ; Channel estimation ; Codes (symbols) ; Feedback control ; MIMO systems ; Radar ; Telecommunication repeaters ; Multiple input multiple output (MIMO) radars ; Off-grids ; Random sampling ; Sparse recovery ; MIMO radar
  8. Source: IEEE Signal Processing Letters ; Volume 25, Issue 2 , 2018 , Pages 313-317 ; 10709908 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8252808