International Conference on Infrared, Millimeter and Terahertz Waves
Wang, P.; Fu, H.; Koike-Akino, T.; Ma, R.; Orlik, P.V.
http://www.merl.com/publications/docs/TR2018-143.pdf
This paper introduces a terahertz (THz)-based absolute positioning system with a single THz transceiver as the read head and a multi-level pseudo-random reflectance pattern (e.g., multi-level m-sequences) as the high-resolution scale in a compressed scanning mode. One of key technical challenges here is to computationally recover the multi-level pseudo-random reflectance pattern from compressed measurements. To this end, we develop a variational Bayesian approach to exploit the finite alphabet of reflectance levels and enable a pixel- wise iterative inference for fast recovery. Numerical results confirm the effectiveness of the proposed method.
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