Mr. Colin D. Kelly Profile

Colin D. Kelly

at Pennsylvania State Univ

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Proceedings Article | 14 June 2023 Poster + Paper

Extraction of ground clutter return interference from downward-looking UWB radar signal via low-rank and sparse optimization

Lam Nguyen, Kenneth Ranney, Colin Kelly, Kyle Gallagher, Calvin Le, Kelly Sherbondy

Proceedings Volume 12535, 125350U (2023) https://doi.org/10.1117/12.2675755

KEYWORDS: Radar, Target detection, Synthetic aperture radar, Signal filtering, Radar signal processing

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Ultra-wideband (UWB) ground-penetrating radar (GPR) technology has been widely employed for detecting underground targets, structures, or anomalies. However, the backscatter signals from the ground surface pose a critical challenge for downward-looking GPR systems since 1) these ground return signals have significant power compared to the backscatter signal from subsurface targets, and 2) the ground return and target signals completely overlap in both the time and frequency domains. This paper presents a technique for reconstructing and extracting the GRI signals from downward-looking UWB GPR signals. This simultaneous low-rank and sparse algorithm models the GRI signals as a low-rank matrix, while the return signals from the targets are represented by sparse signals. The solver simultaneously optimizes both objectives, resulting in the separation of the target signals from the GRI signals. Our technique performs this GRI extraction directly in the phase history data domain prior to synthetic aperture radar (SAR) image formation. Thus, it can be implemented as an additional step, completely independent from all other steps, in the pre-processing stage. Recovery results from both simulated and real data sets illustrate the robustness and effectiveness of our proposed technique.

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