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An approximate ml estimator for moving target localization in distributed mimo radars

Kazemi, S. A. R ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1109/LSP.2020.3020505
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2020
  4. Abstract:
  5. This letter deals with the problem of moving target localization in distributed multiple-input multiple-output (MIMO) radar systems using time delay (TD) and Doppler shift (DS) measurements. The proposed solution to this problem consists of two stages. In the first stage, an initial estimation of target location is obtained by solving the formulated maximum likelihood (ML) problem based on the TD measurements. In the second stage, by recognizing the obtained position estimate in the previous stage as a priori data and exploiting the DS measurements, another ML problem is formulated, which is efficiently solved via a tractable numerical method to produce a simultaneous estimation of target position and velocity vectors. Overall, the proposed method significantly outperforms the state-of-The-Art algorithms under Gaussian noise model as corroborated by numerical simulations. © 1994-2012 IEEE
  6. Keywords:
  7. Cramer-Rao bound (CRB) ; Doppler shift (DS) ; Maximum likelihood (ML) estimation ; Multiple-input multiple-output (MIMO) radar ; Target localization ; Time delay (TD) ; Maximum likelihood estimation ; MIMO radar ; MIMO systems ; Numerical methods ; Radar measurement ; Trellis codes ; Distributed MIMO ; Gaussian noise model ; Initial estimation ; Moving target localization ; Multiple input multiple output (MIMO) radars ; Position estimates ; Simultaneous estimation ; State-of-the-art algorithms ; Gaussian noise (electronic)
  8. Source: IEEE Signal Processing Letters ; Volume 27 , 2020 , Pages 1595-1599
  9. URL: https://ieeexplore.ieee.org/document/9181447