Microwave Imaging Based on a Subspace-based Two-step Iterative Shrinkage/Thresholding Method
- Publisher:
- IEEE
- Publication Type:
- Conference Proceeding
- Citation:
- 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, 2023, pp. 1-4
- Issue Date:
- 2023-12-11
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
| Microwave_Imaging_Based_on_a_Subspace-based_Two-step_Iterative_Shrinkage_Thresholding_Method.pdf | Published version | 1.26 MB |
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This paper presents a subspace based two step iterative shrinkage thresholding method S TwIST based on the Distorted Born iterative method DBIM to improve the performance of the original TwIST inverse algorithm This method retrieves the deterministic part of the induced current from inhomogeneous Green s function operator leading to more accurate total field calculation at each iteration step than that of the original TwIST Both inverse algorithms have been evaluated with a set of synthetic geometries with fine structures Compared with TwIST the results show that S TwIST has superior accuracy in multiple objects profile err 0 1454 and 1 16 resolution at 2GHz Also S TwIST is more robust to initial guess which means it is less likely to become unstable when the inversion procedure starts without initial guess
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