Open AccessThorough approach toward cylindrical MMW image reconstruction using sparse antenna array
Author(s) -
Mandi Sanam Pourya,
Seyyed Talebi Mohammad Javad,
Kazemi Mahmoud,
Kavehvash Zahra,
Shabany Mahdi
Publication year - 2018
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2017.0392
Subject(s) - iterative reconstruction , computer science , antenna (radio) , extremely high frequency , antenna array , sparse array , reduction (mathematics) , image quality , coupling (piping) , image (mathematics) , optics , artificial intelligence , computer vision , telecommunications , algorithm , engineering , mathematics , physics , mechanical engineering , geometry
In this study, a thorough analysis of image reconstruction in an active millimetre‐wave (MMW) cylindrical imaging system is performed. To improve the system's performance in terms of the total cost as well as the coupling effect, sparse multi‐static arrays are desired. Nevertheless, the existing reconstruction methods fail to operate in sparse multi‐static antenna‐array systems. Therefore, to address these shortcomings, in this study, at first, the existing MMW mono‐static cylindrical image reconstruction methods are modified in both single‐frequency and wideband reconstruction platforms. Moreover, in order to further improve the image quality and the system cost, a sparse multi‐static one‐dimensional antenna array has been proposed. To use this sparse array in the cylindrical MMW imaging system, a novel multi‐static cylindrical image reconstruction method is also proposed. The performances of the proposed reconstruction methods for both mono‐static and sparse multi‐static cylindrical imaging structures are validated through numerical simulations. Through the obtained results, 83% reduction in antenna array cost along with a 25 dB decrease in coupling effect is achieved at the cost of a minor reduction in the reconstructed image quality.