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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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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

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