Moving Target Detection Using a Distributed MIMO Radar System With Synchronization Errors
Yang, Shixing ; Jakobsson, Andreas LU
and Yi, Wei
(2023)
In IEEE Transactions on Geoscience and Remote Sensing
61.
- Abstract
This article addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting from the presence of such errors, a joint robust detection and estimation framework is introduced. We first propose an extended generalized likelihood ratio test (GLRT) detector exhibiting the constant false alarm rate (CFAR) property to robustly detect multichannel misaligned data by extending the matching range cells among multiple channels,... (More)
This article addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting from the presence of such errors, a joint robust detection and estimation framework is introduced. We first propose an extended generalized likelihood ratio test (GLRT) detector exhibiting the constant false alarm rate (CFAR) property to robustly detect multichannel misaligned data by extending the matching range cells among multiple channels, on which a Radon-Fourier transform (RFT) is employed to coherently accumulate the response of potentially moving targets. Then, a clustering algorithm is employed to obtain the unique time delays and Doppler shifts for each channel from the redundant results generated by the detector. Finally, we estimate the target locations and their velocities using the estimated multichannel time delays and Doppler shifts using a weighted least squares (WLSs) formulation, which is reformulated as a convex optimization problem in order to allow for an efficient solution. Both numerical and experimental results demonstrate the performance and the robustness of the proposed framework as compared with other recent approaches.
(Less)
- author
- Yang, Shixing
; Jakobsson, Andreas
LU
and Yi, Wei
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Distributed multiple-input and multiple-output (MIMO) radar, extended generalized likelihood ratio test (GLRT) detector, joint detection and estimation, synchronization errors
- in
- IEEE Transactions on Geoscience and Remote Sensing
- volume
- 61
- article number
- 5107417
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85166299628
- ISSN
- 0196-2892
- DOI
- 10.1109/TGRS.2023.3299233
- language
- English
- LU publication?
- yes
- id
- d9710f85-9f82-4f6b-9a5d-17c736341819
- date added to LUP
- 2023-11-21 11:42:26
- date last changed
- 2023-12-05 12:32:14
@article{d9710f85-9f82-4f6b-9a5d-17c736341819,
abstract = {{<p>This article addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting from the presence of such errors, a joint robust detection and estimation framework is introduced. We first propose an extended generalized likelihood ratio test (GLRT) detector exhibiting the constant false alarm rate (CFAR) property to robustly detect multichannel misaligned data by extending the matching range cells among multiple channels, on which a Radon-Fourier transform (RFT) is employed to coherently accumulate the response of potentially moving targets. Then, a clustering algorithm is employed to obtain the unique time delays and Doppler shifts for each channel from the redundant results generated by the detector. Finally, we estimate the target locations and their velocities using the estimated multichannel time delays and Doppler shifts using a weighted least squares (WLSs) formulation, which is reformulated as a convex optimization problem in order to allow for an efficient solution. Both numerical and experimental results demonstrate the performance and the robustness of the proposed framework as compared with other recent approaches.</p>}},
author = {{Yang, Shixing and Jakobsson, Andreas and Yi, Wei}},
issn = {{0196-2892}},
keywords = {{Distributed multiple-input and multiple-output (MIMO) radar; extended generalized likelihood ratio test (GLRT) detector; joint detection and estimation; synchronization errors}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Geoscience and Remote Sensing}},
title = {{Moving Target Detection Using a Distributed MIMO Radar System With Synchronization Errors}},
url = {{http://dx.doi.org/10.1109/TGRS.2023.3299233}},
doi = {{10.1109/TGRS.2023.3299233}},
volume = {{61}},
year = {{2023}},
}