TWRITexas Water Resources Institute (Texas A&M University)
TWRIToronto Western Research Institute
TWRITechniques of Water-Resources Investigation (geology)
TWRIThrough-The-Wall Radar Imaging
TWRIThree-Wave Resonant Interaction
References in periodicals archive ?
A MIMO array imaging geometry for TWRI and the definition of AR is given in Section 2.
TWRI can obtain the high-resolution imagery of buildings, which offers valuable information for target discrimination or recognition.
Therefore, the virtual aperture is more suitable to TWRI systems than the real or synthetic aperture.
The BP algorithm shown in Equation (1) is often used for TWRI when radar operates in MIMO array configuration.
It is hoped that based on the preliminary results in this paper, we are able to predict the building interior structure in TWRI using the parametric model and the proposed image-domain method.
There are some other approaches to implement accurate TWRI through correcting the defocusing of target image or the target displacement with wall parameters estimation in the single-layer and homogeneous wall model.
Inspired by the works in [17, 18], a novel approach to target localization in the presence of wall parameter ambiguities for TWRI is presented with the single-layer and homogeneous wall model in this paper.
The TWRI experiment results are presented in Section 5.
In order to demonstrate that the high-quality image can be formed by the estimated wall parameters with errors, the image with the true wall parameters is adopted as the comparison criterion, and two quantitative assessments are selected to estimate the image quality referring to the wall effects on TWRI.
Moreover, in practical application, TWRI is generally implemented without compensating wall effect when the wall parameters are not known a priori.
Consequently, an equivalent near-field wideband inverse synthetic aperture TWRI experiment has been set up in an empty room to verify the proposed approach.