NLOS Localization Method Based on Kirchhoff Migration

Aiming at the problems of high complexity and serious multipath interference of the existing Non-Line-of-Sight (NLOS) localization algorithms, this paper innovatively proposes a NLOS localization method based on Kirchhoff migration by drawing on the wavefield migration theory in seismic exploration. According to Huygens’ principle, establish an equivalent radar model, and use Kirchhoff migration to invert the coordinates of the reflection interface; in the second stage, based on the theory of wavefield extrapolation, and perform the second migration to realize the imaging of the target in the NLOS area; finally, use CA_CFAR algorithm for the target detection and localization. Aiming at the differences between millimeter waves and seismic waves in wavefield characteristics, this study introduces a Gaussian diffusion model to correct the attenuation law of electromagnetic waves in propagation; this study combines with the MUSIC super-resolution algorithm to construct a dynamic angular constraint mechanism, and realizes the optimization of the angular spectra through the decomposition of the eigen-subspace, which improves the imaging accuracy and shortens the running time at the same time. The experimental results show that this method can effectively detect the non-visual obstacles within 5 meters in the L-type tunnel environment, and the position error is controlled within 5 cm, which provides a new technical path for NLOS localization.