Abstract

Non-line-of-sight (NLOS) imaging aims to reconstruct the image of hidden targets with the property of multi-scattering, which tremendously broadens the detectable range of sensors and has the potential in the fields of autonomous driving, anti-terrorism, etc. However, in the field of radar, most of the researches on NLOS focus on extracting signal characteristic, hidden targets localization, and hidden targets tracking, etc. The corresponding models and algorithms of NLOS imaging are urgently needed to be developed. In this paper, we establish a novel imaging model of looking around corner (LAC) scene. Based on the model, a time-domain coherent algorithm is proposed, the method has the capability of extracting the surface and accurate position of hidden target without prior knowledge. Finally, several metal balls are placed in the NLOS area to construct a LAC observation scene. In the line-of-sight area, a millimeter-wave multi-input-multi-output radar is exploited to synthesize a one-dimension (1-D) antenna array with the framework of 1-D scanning. The experimental results verify the effectiveness of our NLOS technique with the clear geometric features and the accurate position of targets.

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