Title :
A 3D Simulation Model for Experimental Analysis from Moving Target Detection and Localization Using UWB Radar System
Author :
Minh Nguyen, N.T.
Author_Institution :
Sch. of Electr. Eng., Int. Univ., Ho Chi Minh City, Vietnam
Abstract :
In this paper, we propose a 3D simulation model to characterize the scattered far-field by a scenario. The scenario is composed of a metallic plate representing wall and a trihedral, which is located behind the wall in non-line-of-sight (NLOS) areas. This model is based on a ray-tracing (RT) technique combined with the asymptotic method Uniform Theory of Diffraction (UTD). Two ultra-wideband (UWB) radars are configured as transmitter and receiver, able to work in bistatic or monostatic mode. The modeling is useful not only in explicating the mechanisms of wave propagation through the observed area, but also in evaluating the amplitude and the phase of any given point in the far-zone above the ground. Furthermore, our model is tested against 33-37GHz (Ka-band) indoor measurements conducted in the anechoic chamber. These comparisons have shown that the model gives a good agreement with the experimental results.
Keywords :
anechoic chambers (electromagnetic); indoor radio; object detection; radar detection; radar imaging; radar receivers; radar transmitters; ray tracing; synthetic aperture radar; ultra wideband radar; 3D simulation model; NLOS area; RT technique; SAR imaging; UTD; UWB radar system transmitter; anechoic chamber; asymptotic method; bistatic mode; experimental analysis; far-field scattering; frequency 33 GHz to 37 GHz; indoor measurement; metallic plate; monostatic mode; moving target detection; moving target localization; nonline-of-sight area; ray tracing technique; trihedral; ultra wideband radar receiver; uniform theory of diffraction; wall; wave propagation mechanism; Diffraction; Receivers; Reflection; Solid modeling; Synthetic aperture radar; Transmitters; detection and localization; moving target; simulation model; ultra-wideband;
Conference_Titel :
Computational Intelligence and Communication Networks (CICN), 2014 International Conference on
Print_ISBN :
978-1-4799-6928-9
DOI :
10.1109/CICN.2014.11