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Open AccessCommunication
Four-Dimensional Parameter Estimation for Mixed Far-Field and Near-Field Target Localization Using Bistatic MIMO Arrays and Higher-Order Singular Value Decomposition
by
Qi Zhang
Qi Zhang ,
Hong Jiang
Hong Jiang *
and
Huiming Zheng
Huiming Zheng
College of Communication Engineering, Jilin University, Changchun 130012, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(18), 3366; https://doi.org/10.3390/rs16183366 (registering DOI)
Submission received: 18 July 2024
/
Revised: 26 August 2024
/
Accepted: 6 September 2024
/
Published: 10 September 2024
Abstract
In this paper, we present a novel four-dimensional (4D) parameter estimation method to localize the mixed far-field (FF) and near-field (NF) targets using bistatic MIMO arrays and higher-order singular value decomposition (HOSVD). The estimated four parameters include the angle-of-departure (AOD), angle-of-arrival (AOA), range-of-departure (ROD), and range-of-arrival (ROA). In the method, we store array data in a tensor form to preserve the inherent multidimensional properties of the array data. First, the observation data are arranged into a third-order tensor and its covariance tensor is calculated. Then, the HOSVD of the covariance tensor is performed. From the left singular vector matrices of the corresponding module expansion of the covariance tensor, the subspaces with respect to transmit and receive arrays are obtained, respectively. The AOD and AOA of the mixed FF and NF targets are estimated with signal-subspace, and the ROD and ROA of the NF targets are achieved using noise-subspace. Finally, the estimated four parameters are matched via a pairing method. The Cramér–Rao lower bound (CRLB) of the mixed target parameters is also derived. The numerical simulations demonstrate the superiority of the tensor-based method.
Share and Cite
MDPI and ACS Style
Zhang, Q.; Jiang, H.; Zheng, H.
Four-Dimensional Parameter Estimation for Mixed Far-Field and Near-Field Target Localization Using Bistatic MIMO Arrays and Higher-Order Singular Value Decomposition. Remote Sens. 2024, 16, 3366.
https://doi.org/10.3390/rs16183366
AMA Style
Zhang Q, Jiang H, Zheng H.
Four-Dimensional Parameter Estimation for Mixed Far-Field and Near-Field Target Localization Using Bistatic MIMO Arrays and Higher-Order Singular Value Decomposition. Remote Sensing. 2024; 16(18):3366.
https://doi.org/10.3390/rs16183366
Chicago/Turabian Style
Zhang, Qi, Hong Jiang, and Huiming Zheng.
2024. "Four-Dimensional Parameter Estimation for Mixed Far-Field and Near-Field Target Localization Using Bistatic MIMO Arrays and Higher-Order Singular Value Decomposition" Remote Sensing 16, no. 18: 3366.
https://doi.org/10.3390/rs16183366
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