Novel Efficient 3D Short-Range Imaging Algorithms for a Scanning 1D-MIMO Array

Recently, millimeter-wave 3D holography techniques employing a scanning 1D multiple input multiple output (MIMO) array have shown several superiorities for short-range applications than traditional single input single output ones. However, current imaging algorithms for this emerging regime are not satisfied, either too slow as a back projection manner is used or of poor quality since several steps of approximations are introduced. In this paper, two fast fully focused imaging algorithms are developed towards fixing these drawbacks. Both algorithms are based on the assumption that the receivers are evenly distributed. The first algorithm further hypothesizes that the transmitters are also evenly located, while the second algorithm needs looser restrictions that the transmitters can be arbitrarily positioned. The frequency domain expressions of the modified Kirchhoff method are also derived and used to promote the precision of the proposed algorithms. In addition, several implementation issues, including resolution, sampling criteria, and computational complexity are discussed. Finally, both simulation and experimental results validate the effectiveness of the proposed methods on reconstruction quality and computational efficiency.

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