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Artifacts Suppression Using Correlation-Weighted Back Projection Imaging Algorithm for Chaotic GPR
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DOI：10.1109/LGRS.2021.3090431.png)
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Abstract
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A correlation weighted back projection (CWBP) imaging algorithm is proposed to suppress artifacts introduced by the classic back projection (BP) algorithm in the application of chaotic ground-penetrating radar (GPR). In the proposed CWBP algorithm, the backscattering response to each point in the imaging region is first reconstructed through the weighting, which is used to highlight the backscattering response of targets. Then the quadratic cross correlation is calculated to reduce the nontargets' backscattering. The experimental results show that the artifacts are significantly suppressed. In addition, the ghosts generated by overlapped of multitargets artifacts in the classic BP are removed. Our results also show that the proposed CWBP can be applied for the stepped frequency continuous wave radar.
Keywords:
Radar imaging
Imaging
Correlation
Radar
Backscatter
Antennas
Random access memory
Artifacts suppression
back projection (BP)
chaotic ground-penetrating radar (GPR)
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