Journal of Iranian Association of Electrical and Electronics Engineers
نشریه مهندسی برق و الکترونیک ایران
Journal of Iranian Association of Electrical and Electronics Engineers
Engineering & Technology
http://jiaeee.com
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1399
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2020
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Improved Algebraic Solution for Elliptic Localization in Distributed MIMO Radar
Improved Algebraic Solution for Elliptic Localization in Distributed MIMO Radar
مخابرات
Communication
پژوهشي
Research
<div dir="ltr">In this paper, the problem of locating a target in a distributed multiple-input multiple-output radar system using bistatic range measurements is addressed. An algebraic closed-form two-stage weighted least squares solution for the considered problem is developed and analyzed. In the first stage, we establish a set of linear equations by eliminating the nuisance parameters first and then we apply a weighted least squares estimator to determine the target position estimate. In the second stage, in order to improve the localization performance and refine the solution of the first stage, an estimate of the target position estimation error is obtained. The final solution is obtained by subtracting the solution of the second stage from the solution of the first stage. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed in the case of Gaussian distribution. The proposed method is shown to be an approximately unbiased estimator, which is able to attain the CRLB accuracy under small noise conditions. Numerical simulations are included to examine the algorithm's performance and corroborate the theoretical developments.<strong><span dir="RTL"><span style="font-family:B Nazanin;"><span style="font-size:11.0pt;"></span></span></span></strong></div>
In this paper, the problem of locating a target in a distributed multiple-input multiple-output radar system using bistatic range measurements is addressed. An algebraic closed-form two-stage weighted least squares solution for the considered problem is developed and analyzed. In the first stage, we establish a set of linear equations by eliminating the nuisance parameters first and then we apply a weighted least squares estimator to determine the target position estimate. In the second stage, in order to improve the localization performance and refine the solution of the first stage, an estimate of the target position estimation error is obtained. The final solution is obtained by subtracting the solution of the second stage from the solution of the first stage. The Cramer-Rao lower bound (CRLB) for target localization accuracy is developed in the case of Gaussian distribution. The proposed method is shown to be an approximately unbiased estimator, which is able to attain the CRLB accuracy under small noise conditions. Numerical simulations are included to examine the algorithm's performance and corroborate the theoretical developments.
Bistatic Range (BR), Multiple-input Multiple-output (MIMO) Radar, Singular Value Decomposition (SVD), Target Position, Weighted Least Squares (WLS).
Bistatic Range (BR), Multiple-input Multiple-output (MIMO) Radar, Singular Value Decomposition (SVD), Target Position, Weighted Least Squares (WLS).
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http://jiaeee.com/browse.php?a_code=A-10-1250-1&slc_lang=en&sid=1
Ali
Noroozi
Ali
Noroozi
ali_noroozi@sharif.edu
10031947532846007316
10031947532846007316
Yes
Department of Electrical Engineering, Sharif University of Technology
Department of Electrical Engineering, Sharif University of Technology
Mohammad Ali
Sebt
Mohammad Ali
Sebt
sebt@kntu.ac.ir
10031947532846007317
10031947532846007317
No
Department of Electrical Engineering, K. N. Toosi University of Technology
Department of Electrical Engineering, K. N. Toosi University of Technology
Amir Hosein
Oveis
Amir Hosein
Oveis
oveis.amirhosein@ee.kntu.ac.ir
10031947532846007318
10031947532846007318
No
Department of Electrical Engineering, K. N. Toosi University of Technology
Department of Electrical Engineering, K. N. Toosi University of Technology
Rouhollah
Amiri
Rouhollah
Amiri
amiri_rouhollah@ee.sharif.edu
10031947532846007319
10031947532846007319
No
Department of Electrical Engineering, Sharif University of Technology
Department of Electrical Engineering, Sharif University of Technology
Mohammad Mahdi
Nayebi
Mohammad Mahdi
Nayebi
nayebi@sharif.edu
10031947532846007320
10031947532846007320
No
Department of Electrical Engineering, Sharif University of Technology
Department of Electrical Engineering, Sharif University of Technology