Conference Paper

Comparison of basic inversion techniques for through-wall imaging using UWB radar

Dept. of Electron.&Inf., Vrije Univ. Brussel, Brussels
Conference: Radar Conference, 2008. EuRAD 2008. European
Source: IEEE Xplore

ABSTRACT In this paper, we consider the problem of detecting and localizing static objects in a room using thoughwall ultra-wideband (UWB) radar SAR measurements. This paper investigates basic inversion (imaging) techniques which are used for interpreting the raw radar data in an understandable way. We also introduce a fast method for estimating the travel time between the antennas and the targets. The accuracy and computational complexity of the imaging techniques are analyzed and compared.

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    ABSTRACT: Through the wall sensing is seeing a rapid growth with the present day technology. Particularly Ultra Wideband (UWB) technology paves the way for this. Three dimensional imaging of humans behind the walls, foliage or any other rubble gives information which can help to save lives. This paper simulates a human like structure with the environment of being behind wall and extracts the three dimensional imaging of the human structure. Electromagnetic signals were transmitted and based on the received echoes after processing a 3D Imaging is obtained. Signal processing aspects before imaging and the method used for obtaining the tree dimensional imaging is also discussed.
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    ABSTRACT: Ultra Wideband (UWB) technology shows a new way for Through-the-wall radar imaging which is of very high importance in urban warfare. Three dimensional imaging gives more information of the scene compared to the conventional two dimensional. This paper makes use of impulse like signals which suites as best waveform for UWB transmission, and discusses the need for raw radar processing. It extends the back projection approach for three dimensional target imaging. Major part of the clutter is removed by selecting the voxels that were of targets. The selection is done by the received signal strength at that voxel. The threshold limit after normalizing the signal intensity is taken as 0.75. The simulation results show the close resemblance of the three dimensional image to its original shape and this closeness is observed to be as 53 %.
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May 22, 2014