Open AccessCompressive sensing for microwave breast cancer imaging
Author(s) -
Zarnaghi Naghsh Narges,
Ghorbani Ayaz,
Amindavar Hamidreza
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2015.0537
Subject(s) - microwave imaging , beamforming , compressed sensing , computer science , noise (video) , microwave , radar imaging , wideband , radar , breast cancer , computer vision , acoustics , artificial intelligence , cancer , image (mathematics) , telecommunications , optics , physics , medicine
The long time for collecting the data and a considerable amount of data are important technical challenges in microwave imaging for the detection of breast cancer. From the other point of view, compressive sensing (CS) is an interesting representation and analysis of sparse signals. In this study, a new imaging method for monostatic ultra‐wideband microwave imaging of breast cancer using CS is presented. Instead of using all of the conventional radar returned signals, a few received signals, by random choosing the antenna, are sufficient for obtaining reliable images even at high noise levels. Using simulations done, it is shown that sparser images are obtained comparing to the delay‐and‐sum beamforming technique using only a few received signals.