An efficient iterative algorithm for moving target positioning in distributed MIMO radars
This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first formulate the localizatio n problem as a constrained weighted least squares (CWLS) probl em, which is essentially a quadratically constrained...
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| Published in: | 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) pp. 404 - 408 |
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| Main Authors: | , |
| Format: | Conference Proceeding |
| Language: | English |
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24.09.2021
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| Abstract | This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first formulate the localizatio n problem as a constrained weighted least squares (CWLS) probl em, which is essentially a quadratically constrained quadratic pro gramming (QCQP) problem due to its quadratic equality constrai nts. Then, the QCQP problem is transformed into a linearly const rained quadratic programming (LCQP) problem through approx imating each non-convex constraint as a linear constraint, and it i s solved iteratively based on QR decomposition. The closed-form solution in each iteration for solving the LQCP problem makes th e proposed method have high computational efficiency. The perfo rmance of the proposed method is validated via numerical simulations. |
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| AbstractList | This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first formulate the localizatio n problem as a constrained weighted least squares (CWLS) probl em, which is essentially a quadratically constrained quadratic pro gramming (QCQP) problem due to its quadratic equality constrai nts. Then, the QCQP problem is transformed into a linearly const rained quadratic programming (LCQP) problem through approx imating each non-convex constraint as a linear constraint, and it i s solved iteratively based on QR decomposition. The closed-form solution in each iteration for solving the LQCP problem makes th e proposed method have high computational efficiency. The perfo rmance of the proposed method is validated via numerical simulations. |
| Author | Zhao, Hai-Ni Dong, Chun-xi |
| Author_xml | – sequence: 1 givenname: Hai-Ni surname: Zhao fullname: Zhao, Hai-Ni email: wy3213764104@163.com organization: School of Electronic Engineering, Xidian University,Xian,China – sequence: 2 givenname: Chun-xi surname: Dong fullname: Dong, Chun-xi email: chxdong@mail.xidian.edu.cn organization: School of Electronic Engineering, Xidian University,Xian,China |
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| Snippet | This paper proposes an efficient iterative algorithm for determining the position and velocity of a moving target in di stributed MIMO radar systems. We first... |
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| SubjectTerms | Closed-form solutions Computational modeling Computer science Conferences constrained weighted least squares (CWLS) linearly constrained quadratic programming (LCQP) Location awareness MIMO radar moving target localization Numerical simulation Q R decomposition quadratically constrained quadratic programmin g (QCQP) |
| Title | An efficient iterative algorithm for moving target positioning in distributed MIMO radars |
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