Çok Genişbantlı Mikrodalga Görüntüleme için Optimal MIMO Dizilimi

Date

2017-05-18

Author

Kocamis, Burak
Öktem, Sevinç Figen

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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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Citation Formats

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.