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Positioning in MIMO radars based on constrained least squares estimation

Amiri, R ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/LCOMM.2017.2724541
  3. Abstract:
  4. This letter presents a novel solution for the problem of moving target localization in multiple-input multiple-output radar systems. The localization problem is formulated, based on least squares criterion, as a non-convex optimization problem and solved by semidefinite relaxation method. Then, an improvement technique, refining the initial solution by estimating the error terms, is proposed. Numerical simulations demonstrate that the proposed method achieves a significant performance improvement over the state-of-the-art methods. Specifically, the proposed method is shown to be more robust to the noise level compared with the existing algorithms. © 1997-2012 IEEE
  5. Keywords:
  6. Doppler shift (DS) ; Semidefinite relaxation (SDR) ; Time delay (TD) ; Convex optimization ; Least squares approximations ; MIMO systems ; Numerical methods ; Optimization ; Radar ; Radar systems ; Constrained least squares ; Least squares criterion ; Moving target localization ; Multiple input multiple output (MIMO) radars ; Nonconvex optimization ; Semidefinite relaxation ; State-of-the-art methods ; Target localization ; MIMO radar
  7. Source: IEEE Communications Letters ; Volume 21, Issue 10 , 2017 , Pages 2222-2225 ; 10897798 (ISSN)
  8. URL: https://ieeexplore.ieee.org/document/7972996