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Iterative constrained weighted least squares solution for target localization in distributed MIMO radar

Noroozi, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/IranianCEE.2019.8786511
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. This paper concentrates on the target localization problem in a distributed multiple-input multiple-output radar system using the bistatic range (BR) measurements. By linearizing the BR measurements and considering the relationship between the nuisance parameter and the target position, a constrained weighted least squares (CWLS) problem is formulated, which is an indefinite quadratically constrained quadratic programming problem. Since the constraint is non-convex, it is a nontrivial task to find the global solution. For this purpose, an improved Newton's method is applied to the CWLS problem to estimate the target position. Numerical simulations are included to examine the algorithm's performance and corroborate the theoretical developments
  6. Keywords:
  7. Bistatic range (BR) ; Constrained weighted least squares (CWLS) ; MIMO radar ; MIMO systems ; Newton-Raphson method ; Quadratic programming ; Algorithm's performance ; Bistatic range ; Constrained weighted least-squares ; Iterative algorithm ; Multiple input multiple output (MIMO) radars ; Quadratically constrained quadratic programming ; Target position ; Theoretical development ; Radar measurement
  8. Source: 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 1710-1714 ; 9781728115085 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8786511