Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
Through-Wall Imaging With UWB Radar System - KEMT FEI TUKE
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
Chapter 4<br />
Selected Research Methods<br />
Our research was concentrated onto three main tasks. First, in Section 4.1 a<br />
precise, efficient, and fast method of TOA estimation for through-wall scenario<br />
was investigated. Second, in Section 4.2 easy to handle, fast and practical method<br />
for measurements of wall parameters with <strong>UWB</strong> radar, that is required for precise<br />
TOA estimation was developed. Third, in Section 4.3 a method for highlighting<br />
of inner and outer building contours scanned from the outside by utilization of<br />
image processing algorithms is presented. In Section 4.4, the performance of basic<br />
migration methods was compared for through-wall scenario and several practical<br />
measurement scenarios measured with M-sequence <strong>UWB</strong> radar system are shown.<br />
4.1 <strong>Through</strong>-<strong>Wall</strong> TOA Estimation<br />
Precise TOA estimation is a basic step of standard migration methods for object<br />
imaging from SAR measurements. In this section, an effective computational<br />
method of the TOA for through-wall model is presented, published by the author<br />
in [1]. The conventional method that uses constant velocity model produces errors<br />
in object shape and position estimation [141,4,3]. Computation of the TOA (corresponding<br />
to the true flight distance) for three layer model requires the complex<br />
minimization algorithm. The proposed method transforms three layer (air-wallair)<br />
model to an equivalent two layer (air-wall) model with lower computation<br />
complexity and the same precision. It uses iterative solution of well defined minimization<br />
problem. Moreover, conveniently selected initial conditions of iteration<br />
process can further decrease computational complexity of the method. The proposed<br />
method provides more precise TOA estimation than the conventional one<br />
and is less complex than three layer methods. Therefore, it is suitable for implementation<br />
on realtime hardware. The method performance is demonstrated by<br />
processing of real 2D SAR data acquired by through-wall M-sequence <strong>UWB</strong> radar<br />
system.<br />
41