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Çok Genişbantlı Mikrodalga Görüntüleme için Optimal MIMO Dizilimi
Date
2017-05-18
Author
Kocamis, Burak
Öktem, Sevinç Figen
Metadata
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Wideband microwave imaging systems are recently used in various applications including airport security, surveillance, through-wall imaging and medicine. For the operation of such high-resolution systems, sparse multiple-input-multiple output (MIMO) arrays are of interest to reduce the hardware complexity and cost of conventional planar arrays. In this paper, we present a method for the optimal design of two-dimensional MIMO arrays in near-field imaging. Using a statistical framework, the optimality criterion is defined based on the image reconstruction quality. A modified version of the sequential backward selection algorithm is used to optimize the criterion over all possible locations of desired number of antenna elements. The designs obtained with the algorithm are compared with the commonly used sparse array configurations such as Mills Cross array and curvilinear structure composed array in terms of image reconstruction quality.
Subject Keywords
Near-field imaging
,
MIMO radar
,
Sparse array
,
Optimal design
,
Image reconstruction
URI
https://hdl.handle.net/11511/32908
DOI
https://doi.org/10.1109/siu.2017.7960414
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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B. Kocamis and S. F. Öktem, “Çok Genişbantlı Mikrodalga Görüntüleme için Optimal MIMO Dizilimi,” 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32908.