Abstract
Ultra-Wideband (UWB) is the promising technology for localization of the objects behind the walls. Recent terrorist activities and law-enforcement situations underscore the need for effective through-wall detection. UWB radar signals has extremely large frequency spectrum and since low frequencies has more penetration capabilities through dielectric materials it is best suitable for Through-the-Wall Radar Imaging (TWRI). Signal processing in TWRI has a greater impact in getting the information of the scanned area. This paper uses impulse signals in TWRI, examines the factors impacting in TWRI and obtains the two dimensional information of the scanned scene. Electromagnetic simulation software is used to generate the room like structure, and to obtain the raw radar data.
Highlights
The field of remote sensing has developed a range of interesting imaging approaches for a variety of applications
Through-the-wall and through-the-building sensing are relatively new areas that address the desire to see inside structures to determine the layout of buildings, where occupants may be, and even identify materials within the building
Through-wall sensing is highly desired by police, fire and rescue, emergency relief workers, and military operations
Summary
The field of remote sensing has developed a range of interesting imaging approaches for a variety of applications. Through-the-wall and through-the-building sensing are relatively new areas that address the desire to see inside structures to determine the layout of buildings, where occupants may be, and even identify materials within the building. Each remote-sensing application area has driven different sensing modalities and imaging algorithm development based upon propagation characteristics, sensor positioning, and safety issues. For example, data sampled from many sensors are mathematically integrated to provide equivalent focusing using free-space propagation assumptions. Non-free-space scattering applications are more representtative of the through-building sensing problem, albeit each has its own distinct challenges and approaches.
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