Close-Range 3-D Millimeter Wave Imaging with Full Path Loss Based on Range Stacking Algorithm

Abstract

An accurate and more more efficient millimeter-wave imaging algorithm for monostatic system is presented in this paper. First of all, a more precise physical model which takes into account propagation loss of both the incident wave and reflected wave is implemented. Consequently, the proposed algorithm obtains a better imaging result for multiple targets in different ranges. However, the accordingly physical model can not be processed by the classical mathematical model, such as spherical wave decomposition and Weyl identity. Therefore, the method of stationary phase (MSP) is applied to derive the imaging equation. In addition, range stacking is introduced to avoid time-consuming interpolation in the spectral domain, which also contributes to improved computational efficiency compared with the algorithms using interpolation process. Quality of imaging efficiency have been improved in numerical results with both synthetic data and full-wave simulation data. The proposed algorithm has been further justified through laboratory testing with our in-house developed prototype.

Fast millimeter-wave three-dimensional holographic reconstruction based on target accurate distance

“…Therefore, to improve the efficiency of the computations, many researchers have carried out appropriate investigations. [20][21][22][23][24] The distance stacking method proposed in the literature 21 avoids the interpolation problem in imaging algorithms. This method is based on the wavefront reconstruction theory of the synthetic aperture imaging radar system (SAR) to reconstruct the 2D image of each slice within the full propagation distance.…”

“…Later, Tan and Chen 23 extended the stacking of 2D reconstructions of slices within the full propagation distance to three-dimensional (3D) reconstructions based on the consideration of propagation loss. Based on the wavefront reconstruction theory SAR, Nie et al 24 considered the propagation loss directly in the frequency domain, which made the computational process clearer and more efficient. Meng et al 25 applied the theory to the holographic imaging system with linear frequency modulation, explained the corresponding theory, and analyzed the superiority over the interpolation algorithm in 3D reconstruction.…”