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Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE

Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE

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5.1 Conclusion and Future Work 85<br />

5.1 Conclusion and Future Work<br />

<strong>Through</strong>-wall imaging is new, but very promising field for rescue and security<br />

applications. Information about current state inside the building in hazardous<br />

environment could save many human lives. In order to obtain more precise information<br />

about the indoor environment, several improvements in signal processing<br />

techniques are required. It was shown how to improve the results of through-wall<br />

imaging and still preserve realtime processing that can be used in praxis. Even if<br />

similar approaches lead mostly to highly theoretical methods that can be barely<br />

implemented in praxis, we were concentrated on developing of methods, that we<br />

have already implemented for practical scenarios and tested by real measurements.<br />

<strong>Imaging</strong> of the stationary objects behind the wall is in comparison with detection<br />

of moving objects much more problematic. However, the proposed methods<br />

such as the measurements of the wall parameters, or the estimation of TOA<br />

through the wall could be profitably used to enhance a precision for detection,<br />

localization, and tracking of moving objects behind the wall.<br />

There are lots of applications where the imaging of the objects through the<br />

opaque obstacles could be used. It seems that the radar with the electromagnetic<br />

waves penetration is a good way to achieve it. However, all the required techniques<br />

need to be improved in a large scale. We suggest the next steps for future work:<br />

• To include the multilayer model approach for the measurements of the wall<br />

parameters. This would provide thickness, permittivity and conductivity for<br />

every layer of the wall such as plaster, air cavity, glass-wall, etc.<br />

• To include the multilayer model of the wall into the precise TOA estimation.<br />

• Compensation of the antenna angle beam should take into account that the<br />

antenna weight function is dependent also on frequencies. Especially at the<br />

low frequencies the antenna has significantly different weight function.<br />

• The migration that takes into account multiple reflections between objects<br />

and diffraction should be investigated.<br />

Because the topic is relatively new, there are a lot of opportunities. All the<br />

signal processing steps including calibration, preprocessing, migration, and image<br />

representation as well as the radar hardware itself have great abilities for future<br />

improvements. It can be expected that more sophisticated methods with much<br />

larger computational requirements would be investigated in the future. They will<br />

require more powerful hardware that is available now. However, keep in mind that<br />

the future is closer than you think.

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