Radar Signatures of Complex Buried Objects in Ground Penetrating Radar

Abstract

Radar Signatures of Complex Buried Objects in Ground Penetrating RadarThe evaluation of radar signatures of buried objects for three experimental ground penetrating radar setups will be addressed in this paper. The contribution will present corresponding results and experiences. The performance of the imaging capabilities of the designed radar system will be assessed by reconstruction of complex shaped test objects, which have been placed within the ground. The influence of system parameters of the ground penetrating radar have been varied systematically in order to analyze their effects on the image quality. Among the modified parameters are the step size in transverse plane, height of the antenna over ground, frequency range, frequency points, antennas and varying instrument settings. A signal processing technique based on synthetic aperture radar has been applied on the measured raw data. The focus radius around a specific target has been analyzed concerning the compromise between image quality and processing time. The experiments demonstrate that the designed ground penetrating radar systems are capable for detection of buried objects with high resolution.

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“…With recent improvements in both algorithm and hardware technologies, 3-D imaging of buried objects can be used in a variety of applications, such as land mine detection [13]- [20], bridge inspection [21]- [23], and road condition surveys [24], [25]. Standard back-projection algorithms have proven effective in such applications [26]- [30]. In this article, we present the results of our experiments by implementing measurements using the stepped-frequency approach and then applying the standard backprojection algorithm to the stepped-frequency imaging.…”

“…We then employ our time-minimization technique for objects buried in sand. The idea of the standard back-projection algorithm [30] is represented in (2), where matched filtering is first applied to the scattered field received at each antenna location. By summing the matched-filter response results from all of the antenna locations, the intensity of a pixel , ,…”