Efficient Near-Field Imaging Using Cylindrical MIMO Arrays

TL;DR

This paper introduces a wavenumber domain imaging algorithm for cylindrical MIMO arrays in millimeter-wave applications, enabling effective near-field imaging with undersampled arrays and analyzing aliasing effects.

Contribution

It proposes a novel near-field imaging algorithm for cylindrical MIMO arrays that handles spectrum aliasing and undersampling, improving millimeter-wave imaging capabilities.

Findings

The algorithm effectively reconstructs images with undersampled arrays.

Spectrum aliasing can be mitigated through zero-filling Fourier transform.

Numerical results outperform traditional backprojection methods.

Abstract

Multiple-input multiple-output (MIMO) array based millimeter-wave (MMW) imaging has a tangible prospect in applications of concealed weapons detection. A near-field imaging algorithm based on wavenumber domain processing is proposed for a cylindrical MIMO array scheme with uniformly spaced transmit and receive antennas over both the vertical and horizontal-arc directions. The spectrum aliasing associated with the proposed MIMO array is analyzed through a zero-filling discrete-time Fourier transform. The analysis shows that an undersampled array can be used in recovering the MMW image by a wavenumber domain algorithm. The requirements for the antenna inter-element spacing of the MIMO array are delineated. Numerical simulations as well as comparisons with the backprojection (BP) algorithm are provided to demonstrate the effectiveness of the proposed method.