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Efficient convex solution for 3-D localization in MIMO radars using delay and angle measurements

Kazemi, A. R ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/LCOMM.2019.2948175
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. In this letter, an efficient estimator for 3-D target localization in distributed multiple-input multiple-output (MIMO) radars using time delay (TD) and angle of arrival (AOA) measurements is proposed. First, an approximately equivalent maximum likelihood (ML) estimation problem is formulated. Then, the aforementioned ML problem is recast into a convex optimization problem for which we derive a semi closed-form solution that eventually boils down to finding the roots of certain polynomials. Using numerical simulations, we demonstrate that the proposed estimator reaches the Cramer-Rao lower bound (CRLB) up to relatively high Gaussian measurement noise levels. Furthermore, the proposed method is shown to outperform the state-of-the-art algorithms under the above-mentioned noise model. © 1997-2012 IEEE
  6. Keywords:
  7. Angle of arrival (AOA) ; Constrained maximum likelihood (ML) estimation ; Cramer-rao lower bound (CRLB) ; Multiple-input multiple-output (MIMO) radar ; Convex optimization ; Cramer-Rao bounds ; Direction of arrival ; Feedback control ; Maximum likelihood estimation ; MIMO systems ; Polynomials ; Radar measurement ; Radar target recognition ; Telecommunication repeaters ; Time delay.(TD) ; Trellis codes ; Closed form solutions ; Convex optimization problems ; Gaussian measurements ; Multiple input multiple output (MIMO) radars ; State-of-the-art algorithms ; Target localization ; MIMO radar
  8. Source: IEEE Communications Letters ; Volume 23, Issue 12 , 2019 , Pages 2219-2223 ; 10897798 (ISSN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/8876639