Abstract
This paper presents a 3-D near-field imaging algorithm that is formulated for 2-D wideband multiple-input-multiple-output (MIMO) imaging array topology. The proposed MIMO range migration technique performs the image reconstruction procedure in the frequency-wavenumber domain. The algorithm is able to completely compensate the curvature of the wavefront in the near-field through a specifically defined interpolation process and provides extremely high computational efficiency by the application of the fast Fourier transform. The implementation aspects of the algorithm and the sampling criteria of a MIMO aperture are discussed. The image reconstruction performance and computational efficiency of the algorithm are demonstrated both with numerical simulations and measurements using 2-D MIMO arrays. Real-time 3-D near-field imaging can be achieved with a real-aperture array by applying the proposed MIMO range migration techniques.
| Original language | English |
|---|---|
| Article number | 6153063 |
| Pages (from-to) | 3026-3033 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 21 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2012 |
| Externally published | Yes |
Keywords
- Multiple-input multiple-output (MIMO)
- Near-field imaging
- Range migration
- Sparse array
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