|
|
improved algebraic solution for elliptic localization in distributed mimo radar
|
|
|
|
|
نویسنده
|
noroozi a. ,sebt m.a. ,oveis a.h. ,amiri r. ,nayebi m. m.
|
منبع
|
مهندسي برق و الكترونيك ايران - 2020 - دوره : 17 - شماره : 4 - صفحه:37 -44
|
چکیده
|
In this paper, the problem of locating a target in a distributed multipleinput multipleoutput radar system using bistatic range measurements is addressed. an algebraic closedform twostage 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 cramerrao 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 algorithmchr('39')s performance and corroborate the theoretical developments.
|
کلیدواژه
|
bistatic range (br) ,multiple-input multiple-output (mimo) radar ,singular value decomposition (svd) ,target position ,weighted least squares (wls).
|
آدرس
|
sharif university of technology, department of electrical engineering, iran, k. n. toosi university of technology, department of electrical engineering, iran, k. n. toosi university of technology, department of electrical engineering, iran, sharif university of technology, department of electrical engineering, iran, sharif university of technology, department of electrical engineering, iran
|
پست الکترونیکی
|
nayebi@sharif.edu
|
|
|
|
|
|
|
|
|
Improved Algebraic Solution for Elliptic Localization in Distributed MIMO Radar
|
|
|
Authors
|
Noroozi Ali ,Sebt Mohammad Ali ,Oveis Amir Hosein ,Amiri Rouhollah ,Nayebi Mohammad Mahdi
|
Abstract
|
In this paper, the problem of locating a target in a distributed multipleinput multipleoutput radar system using bistatic range measurements is addressed. An algebraic closedform twostage 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 CramerRao 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 algorithmchr('39')s performance and corroborate the theoretical developments.
|
Keywords
|
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).
|
|
|
|
|
|
|
|
|
|
|