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Moving Object Localization in Distributed MIMO With Clock and Frequency Offsets

delete2023-07-01
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PRE
AI
Q
Qinman Lin
X
Xiaoping Wu *
DOI:10.1109/JSEN.2023.3277344delete
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Abstract

Abstract

En 中文
This article investigates the localization problem of the moving target in distributed multiple-input multiple-output (MIMO) systems, where the transmitters are subject to clock and frequency offsets. The position and velocity of the moving target are jointly determined by applying time delay (TD) and Doppler shift (DS) measurements. For this purpose, two efficient solution approaches are proposed to estimate the unknowns of the moving target, as well as the clock and frequency offsets. Firstly, the nonconvex localization problem is first relaxed into a convex semidefinite programming (SDP) form. Additionally, a two-stage closedform solution (TSCFS) approach is proposed to determine the unknowns. The performance of the proposed methods is examined by the mean square error (mse) analysis. The simulated results show that the performance of the proposed solutions are able to approach the Cramer-rao lower bound (CRLB) accuracy at low noise levels. In contrast, the SDP solution performs better than the TSCFS in the presence of high noise levels or a small number of receivers.
Keywords:
Closed-form solution (CFS)
distributed multiple-input multiple-output (MIMO) systems
Doppler shifts (DSs)
moving target localization
semidefinite programming (SDP)
time delays (TDs)

Journal

IEEE Sensors Journal cover
IEEE Sensors Journal
IF:
4.5
Papers:
2.1W
Citations:
7.3W

Organization

H
Huzhou University
Scholars:
4.1K
Papers: 3.5K
Citations: 6.7K