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Thorough approach toward cylindrical MMW image reconstruction using sparse antenna array

Mandi Sanam, P | 2018

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  1. Type of Document: Article
  2. DOI: 10.1049/iet-ipr.2017.0392
  3. Publisher: Institution of Engineering and Technology , 2018
  4. Abstract:
  5. 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 multistatic 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. © The Institution of Engineering and Technology 2018
  6. Keywords:
  7. Antenna arrays ; Image enhancement ; Image quality ; Imaging systems ; Millimeter waves ; Numerical methods ; Antenna array system ; Cylindrical images ; Imaging structure ; Millimetre waves ; Reconstructed image ; Reconstruction method ; Sparse antenna array ; System's performance ; Image reconstruction
  8. Source: IET Image Processing ; Volume 12, Issue 8 , 2018 , Pages 1458-1466 ; 17519659 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8423271