Adaptive OFDM subcarrier design for SAR Cross-Range Profile Reconstruction

Buhari, Mohammed D.; Tian, Gui Yun; Tiwari, Rajesh; Muqaibel, Ali H.

doi:10.1109/icsae.2016.7810159

Cited by 2 publications

(1 citation statement)

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“…Using these features, the insulation layer effect can be suppressed/mitigated. To apply SVD on the acquired SAR raw data, the received signal in (10) is rearranged in matrix form to get (full details can be found in our previous work in [30]- [32]) 11) where N N is the additive white Gaussian noise (AWGN), N ∼ (0, σ 2 ω ), and…”

Section: B Influence Of Pipe Insulation Layer and Svd Mitigationmentioning

confidence: 99%

Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

2019

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In non-destructive testing and evaluation, microwave-based synthetic aperture radar (SAR) imaging have shown great potential in the detection of defects on buried objects such as pipes. However, due to pipe curvature and high standoff distance when inspecting an insulated pipe, the useful defect information used to characterise the pipe image is lost as a result of low signal-to-noise ratio (SNR) resulting in a blurred and unfocused image. In this paper, we proposed a robust microwave-based SAR imaging using autofocus range-Doppler algorithm (RDA) for the inspection of an insulated pipe. Singular value decomposition (SVD) is used to mitigate the effect of the insulation layer by removing dominant singular values that characterise the insulation layer, and the autofocus RDA is designed to refocus the SAR image using RDA residual refocusing. SNR, improvement factor (IF) and squared error (SE) are used to evaluate the qualitative image information of the defect on the pipe. Experimental results showed the efficacy of the method in detecting defects on an insulated pipe, in particular, a significant reduction in the noise content of the image compared to the known SAR Omega-k algorithm. It was found that the autofocus RDA gave higher values of SNR and IF (3 dB and 6 dB) compared to the Omega-k algorithm (-1 dB and 2 dB) respectively.

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Section: B Influence Of Pipe Insulation Layer and Svd Mitigationmentioning

confidence: 99%