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An Application of Sensor Array Processing in Characterizing One Dimensional Surface Roughness

Abstract : Part of array signal processing is focused on engineering of angular interferometry to study and characterize the properties of radiating sources and media of propagation, among the applications of array processing we find telecommunications for radio signals, geophysics for seismic waves and maritime communications for underwater acoustical sources. In this paper, we discuss the possibility of applying array processing techniques to partially characterize one dimensional surface roughness of rectangular plate, we propose a system composed of three identical arrays of sensors in far field region relatively to the rectangular plate. The principle of one dimensional roughness description is based on azimuth angle and Fraunhofer criterion. The system consists of one transmitted plane wave and three arrays that intercept the backscattered specular component and diffuse field in several directions, using a combination of multidimensional received signals that are linearly polarized, we construct one characteristic function resulting from angular scan invisible domain of uniform linear array of sensors. The proposed system is supported by numerical simulation.
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Contributor : Miloud Frikel Connect in order to contact the contributor
Submitted on : Friday, June 22, 2018 - 12:04:15 PM
Last modification on : Saturday, June 25, 2022 - 9:51:55 AM

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youssef Khmou, Saïd Safi, Miloud Frikel. An Application of Sensor Array Processing in Characterizing One Dimensional Surface Roughness. International Journal of Control and Automation, SERSC, 2017, 10 (11), pp.105 - 114. ⟨10.14257/ijca.2017.10.11.10⟩. ⟨hal-01821116⟩



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