We present a robust and computationally efficient image reconstruction and object detection algorithm suitable for a microwave holographic vision system with several microwave sensors and a single emission source to d...We present a robust and computationally efficient image reconstruction and object detection algorithm suitable for a microwave holographic vision system with several microwave sensors and a single emission source to detect the presence and the nature of road obstacles impeding driving in the near vehicle zone. The holographic visualization technique allows reconstructing the spatial microwave scattering density in non-optical setting, detecting by lattice of sensors both amplitude and phase of a reflected signal We discuss versions of an algorithm, determine and analyze its resolution limits for various distances with different number of sensors for a one-dimensional test problem of detecting two walls （or posts） separated by a gap at a fixed distance. The interval between sensors needed for a reliable reconstruction equals about one Fresnel zone width. We show that detection distances and spatial resolution achieved （better than 20 cm on distances up to 4.5 m） were sufficient for near-vehicle object detection purposes.展开更多
基金Acknowledgments We gratefully acknowledge the support from the Russian Science Foundation, project number 16-19-00181, for this work.
文摘We present a robust and computationally efficient image reconstruction and object detection algorithm suitable for a microwave holographic vision system with several microwave sensors and a single emission source to detect the presence and the nature of road obstacles impeding driving in the near vehicle zone. The holographic visualization technique allows reconstructing the spatial microwave scattering density in non-optical setting, detecting by lattice of sensors both amplitude and phase of a reflected signal We discuss versions of an algorithm, determine and analyze its resolution limits for various distances with different number of sensors for a one-dimensional test problem of detecting two walls （or posts） separated by a gap at a fixed distance. The interval between sensors needed for a reliable reconstruction equals about one Fresnel zone width. We show that detection distances and spatial resolution achieved （better than 20 cm on distances up to 4.5 m） were sufficient for near-vehicle object detection purposes.
