Multistatic biomedical microwave imaging using spatial interpolator for extended virtual antenna array

Zamani, Ali, Abbosh, Amin M. and Crozier, Stuart (2017) Multistatic biomedical microwave imaging using spatial interpolator for extended virtual antenna array. IEEE Transactions On Antennas and Propagation, 65 3: 1121-1130. doi:10.1109/TAP.2016.2647584


Author Zamani, Ali
Abbosh, Amin M.
Crozier, Stuart
Title Multistatic biomedical microwave imaging using spatial interpolator for extended virtual antenna array
Journal name IEEE Transactions On Antennas and Propagation   Check publisher's open access policy
ISSN 0018-926X
1558-2221
Publication date 2017-03-01
Sub-type Article (original research)
DOI 10.1109/TAP.2016.2647584
Open Access Status Not yet assessed
Volume 65
Issue 3
Start page 1121
End page 1130
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Subject 2208 Electrical and Electronic Engineering
Abstract The accuracy of multistatic microwave imaging is highly dependent on the number of antennas used for data acquisition. The antenna size, available space for antennas, mutual coupling between antennas and acceptable hardware complexity (switching and processing) limit the usable number of antennas. To address this issue, the concept of virtual array is utilized. In this regard, a spatial interpolator is designed to predict the received signals at the location of the virtual elements using the recorded signals by a limited number of real antennas. Consequently, a frequency-based imaging algorithm is used to process the virtual-array signals and produce clear images that enable accurate detection. The presented method is tested via simulations and experiments using a multistatic-radar-based head imaging system operating using the band 1.1-3.2 GHz. The data recorded by eight antennas around the head is used to form equivalent data from an extended virtual array of 12, 16, and 32 elements. Using quantitative metrics, it is shown that the constructed images from the extended virtual array are more accurate than the images created only from the real antennas. It is also shown that a virtual array that has twice the number of elements of the real array, which meet the minimum limit of degree-of-freedom of the problem, is enough to generate an accurate image with optimized computational resources. In comparison with existing correlation-based methods, the presented approach provides more accurate images.
Keyword Head imaging
Microwave imaging
Multistatic radar
Spatial statistics
Virtual array
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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