Showing posts with label Emmanuel Kling. Show all posts
Showing posts with label Emmanuel Kling. Show all posts

Tuesday, March 12, 2019

Abstract-Terahertz and Visible Probing of Particles Suspended in Air


Clotilde Prophète,  Hervé Sik,  Emmanuel Kling,  Rémi Carminati. Julien de Rosny,

https://ieeexplore.ieee.org/document/8603749

The attenuation of air suspended particles is measured with a terahertz (THz) time-domain spectrometer. Simultaneously, the attenuation at a wavelength of 650 nm is probed with a laser diode. On the one hand, this dual measurement allows a direct assessment of the visibility evolution in the THz range compared to the visible range. On the other hand, this setup provides an estimation of the scattering strength and the density of particles. Using the Mie theory, the method is successfully applied to experimentally characterize the refractive index of sand grains and glass beads. The refractive indexes of sand grains and glass beads, average over the acquisitions, are 1.67 and 2.54, respectively. The estimation of the scattering properties of sand grains is crucial to evaluate the performance of THz systems to image through brownout clouds that are created by helicopter rotors when landing in arid areas.

Thursday, July 19, 2018

Abstract-Modeling of an active terahertz imaging system in brownout conditions




Clotilde Prophète, Romain Pierrat, Hervé Sik, Emmanuel Kling, Rémi Carminati, and Julien de Rosny

https://www.osapublishing.org/ao/abstract.cfm?uri=ao-57-21-6017

We present a theoretical evaluation of a subterahertz (subTHz) system to image through a scattering medium composed of scatterers of sizes close to the wavelength. We specifically study the case of sand grain clouds created by helicopter rotor airflow during landing in arid areas. The different powers received by one pixel of a matrix made of subTHz sensors are identified. Photometric and antenna-based sensors are considered. Besides the thermal contribution to the noise, we focus our attention on the radiation backscattered by the brownout. It appears that a configuration where the source and the camera are distant is the most promising configuration and is realistic for embedded systems.
© 2018 Optical Society of America