Reference : Widely Distributed Radar Imaging: Unmediated ADMM Based Approach
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/52924
Widely Distributed Radar Imaging: Unmediated ADMM Based Approach
English
Murtada, Ahmed Abdelnaser Elsayed mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Hu, Ruizhi mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Mysore Rama Rao, Bhavani Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC >]
Schroeder, Udo []
2022
IEEE Journal of Selected Topics in Signal Processing
Institute of Electrical and Electronics Engineers
Recent Advances in Wideband Signal Processing for Classical and Quantum Synthetic Apertures
Yes
International
1932-4553
1941-0484
New York
United States - New York
[en] Radar Imaging ; Widely distributed radars ; Wide angle SAR ; ADMM
[en] This paper presents a novel approach to reconstruct a unique image of an observed scene via synthetic apertures (SA) generated by employing widely distributed radar sensors. The problem is posed as a constrained optimization problem in which the global image which represents the aggregate view of the sensors is a decision variable. While the problem is designed to promote a sparse solution for the global image, it is constrained such that a relationship with local images that can be reconstructed using the measurements at each sensor is respected. Two problem formulations are introduced by stipulating two different establishments of that relationship. The proposed formulations are designed according to consensus ADMM (CADMM) and sharing ADMM (SADMM), and their solutions are provided accordingly as iterative algorithms. We drive the explicit variable updates for each algorithm in addition to the recommended scheme for hybrid parallel implementation on the distributed sensors and a central processing unit. Our algorithms are validated and their performance is evaluated by exploiting the Civilian Vehicles Dome dataset to realize different scenarios of practical relevance. Experimental results show the effectiveness of the proposed algorithms, especially in cases with limited measurements.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/52924
10.1109/JSTSP.2022.3210766
FnR ; FNR15364040 > Ahmed Abdelnaser Elsayed Murtada > RADII > Radar Distributed Sensors For Indoor Imaging > 01/10/2020 > 15/06/2024 > 2020

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