Large scale Maxwell's solver and its application
Lead Research Organisation:
University of Manchester
Department Name: Electrical and Electronic Engineering
Abstract
The aim of this proposal is algorithm development for the analysis of UltraWideBand ( UWB) signals propagating in complex, geometrically fine objects and cancer localisation using UWB signals. The outcome of this project will be a major breakthrough for computation in electromagnetics for problems which need to simulate transient wave propagation in electrically large but fine-detailed and dispersive structures.
The focus of this proposal is on enhanced finite difference time domain methods. These offer the capabilities of analysing arbitrarily complex, wide-band problems. The main difficulties in the use of the FDTD method are long execution time and high memory requirements when the simulation contains geometrical features that are electrically small relative to a large physical space. The project improves the computational efficiency from the viewpoint of the algorithm, coding and parallelisation. The practical application of the Maxwell's solver will be in the area of microwave imaging.
The focus of this proposal is on enhanced finite difference time domain methods. These offer the capabilities of analysing arbitrarily complex, wide-band problems. The main difficulties in the use of the FDTD method are long execution time and high memory requirements when the simulation contains geometrical features that are electrically small relative to a large physical space. The project improves the computational efficiency from the viewpoint of the algorithm, coding and parallelisation. The practical application of the Maxwell's solver will be in the area of microwave imaging.
Organisations
People |
ORCID iD |
| Fumie Costen (Primary Supervisor) | |
| Loukas Xanthos (Student) |
Publications
Xanthos L
(2021)
Resolution Enhancement of UWB Time-Reversal Microwave Imaging in Dispersive Environments
in IEEE Transactions on Computational Imaging
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509565/1 | 30/09/2016 | 29/09/2021 | |||
| 1830967 | Studentship | EP/N509565/1 | 30/09/2016 | 30/03/2020 | Loukas Xanthos |
| Description | 1. A novel algorithm for ultra-wideband through-the-wall radar imaging has been developed. This radar imaging approach is able to detect multiple moving targets even in the case where they overlap in the radar's range and cross-range direction. 2. A method for the wavelet-domain resolution enhancement of ultra-wideband electromagnetic time-reversal imaging has been developed. A full journal manuscript on this topic has been published in IEEE Transactions on Computational Imaging. Relevant data sets have also been uploaded online. |
| Exploitation Route | In the future, the through-the-wall radar imaging method might be extended by researchers in the radar imaging sector to achieve multiple moving target tracking. The wavelet-domain resolution enhancement method for ultra-wideband electromagnetic time-reversal imaging could be integrated with clutter removal techniques. Also, its application on various TR-based techniques, such as the UWB-MUSIC method, could be examined to achieve radar imaging. |
| Sectors | Aerospace Defence and Marine Digital/Communication/Information Technologies (including Software) Electronics Security and Diplomacy |