Efficient Elliptic Localization in the Presence of Antenna Position Uncertainties and Clock Parameter Imperfections

In this paper, an algebraic solution for elliptic localization in multiple-input multiple-output (MIMO) radar systems is proposed by taking the uncertainties in antenna positions and their clock parameters into account. Through nonlinear transformation and multi-stage processing, the target position...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2019-10, Vol.68 (10), p.9797-9805
Main Authors: Amiri, Rouhollah, Kazemi, Seyed Amir Reza, Behnia, Fereidoon, Noroozi, Ali
Format: Article
Language:English
Subjects:
Antenna measurements
Antennas
Clocks
Computer simulation
Cramer-Rao bounds
Cramer-Rao lower bound (CRLB)
Localization
Lower bounds
MIMO (control systems)
multiple-input multiple-output (MIMO) radar
Parameter uncertainty
Radar
Radar equipment
Receivers
Target localization
time delay measurement
Uncertainty
weighted least squares estimation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, an algebraic solution for elliptic localization in multiple-input multiple-output (MIMO) radar systems is proposed by taking the uncertainties in antenna positions and their clock parameters into account. Through nonlinear transformation and multi-stage processing, the target position is estimated in closed-form by successively utilizing the weighted least squares estimator. Theoretical analysis demonstrates that the proposed method is able to attain the Cramer-Rao lower bound (CRLB) performance under mild Gaussian error. The conditions for achieving the CRLB are derived as well. The numerical simulations confirm the analytical results and demonstrate significant performance improvement of the proposed estimator in comparison with the state-of-the-art methods.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2019.2933406