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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Dmitry Leshchiner1, Konstantin Zvezdin1, Grigory Chepkov2, Pietro Perlo3 and Anatoly Popkov1
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DOI:10.17265/2328-2142/2017.06.005
Affiliation(s)
1. Moscow Institute of Physics and Technology, Moscow Region, 141707, Russian Federation;
2. Higher School of Economics, Moscow, 141707, Russian Federation;
3. IFEVS & Torino e-District, Torino, 12048, Italy
ABSTRACT
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.
KEYWORDS
Spin diodes, microwave holography, image reconstruction, Tikhonov regularization, object detection.
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