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A Fast 3D Near Range Imaging Algorithm for a Scanning Sparse MIMO Array in the Millimeter Band.

Feifan Wang1, Bin Deng1, Qi Yang1

  • 1College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China.

Sensors (Basel, Switzerland)
|August 23, 2020
PubMed
Summary
This summary is machine-generated.

This study presents a new imaging algorithm for millimeter-wave technology, improving speed and quality for Multiple-Input Multiple-Output (MIMO) arrays regardless of transceiver positions. It offers a solution for location-constrained or damaged systems.

Keywords:
MIMO arraynear range imagingrange migration algorithmsynthetic aperture techniquesthree-dimensional imaging

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Area of Science:

  • * Electromagnetics and Applied Physics
  • * Signal Processing and Imaging

Background:

  • * Millimeter-wave imaging is crucial for near-range target scenarios, utilizing mechanical scanning and Multiple-Input Multiple-Output (MIMO) arrays.
  • * Current imaging techniques face limitations due to array position constraints and unclear relationships between array geometry and imaging performance.
  • * The lack of uniform standards hinders optimal array design for emerging scanning array regimes.

Purpose of the Study:

  • * To investigate the impact of various array configurations on cross-range imaging performance in millimeter-wave systems.
  • * To develop a novel, fast, and fully focused imaging algorithm for MIMO arrays.
  • * To overcome limitations imposed by specific transmitter and receiver positions.

Main Methods:

  • * Design and simulation of diverse array configurations to analyze positional effects on imaging.
  • * Development of a new imaging algorithm leveraging wavenumber domain properties.
  • * Validation through simulation and experimental results comparing the proposed algorithm with conventional methods.

Main Results:

  • * The proposed algorithm demonstrates significantly faster imaging speeds compared to conventional approaches.
  • * The imaging quality achieved by the novel algorithm is comparable to existing methods.
  • * The algorithm's performance is independent of transmitter and receiver positions.

Conclusions:

  • * The developed algorithm offers a feasible and efficient solution for fast, fully focused imaging in millimeter-wave MIMO systems.
  • * This method is particularly beneficial for systems with location-constrained arrays or partially damaged transceivers.
  • * Provides a foundation for designing more flexible and robust millimeter-wave imaging systems.