2019
DOI: 10.3390/electronics9010025
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Improved Clutter Removal by Robust Principal Component Analysis for Chaos Through-Wall Imaging Radar

Abstract: Chaos through-wall imaging radar has attracted wide attention due to its inherent low probability of detection/interception, strong anti-jamming, and high resolution. However, the target response is usually overwhelmed by strong clutter. This paper proposes an imaging-then-decomposition method based on two-stage robust principal component analysis (RPCA) to remove the clutter and recover the target image. The proposed method firstly focuses the energy of the preprocessing data by the back-projection imaging al… Show more

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Cited by 12 publications
(11 citation statements)
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“…In order to quantify the amount of energy around the target, the target-to-clutter ratio (TCR) is computed as follows [41]: where ρ is the reflectivity, At is the area enclosing the targets and Ac is the area outside the targets, and Nt and Nc are the number of pixels of At and Ac, respectively.…”
Section: Results and Discusionsmentioning
confidence: 99%
“…In order to quantify the amount of energy around the target, the target-to-clutter ratio (TCR) is computed as follows [41]: where ρ is the reflectivity, At is the area enclosing the targets and Ac is the area outside the targets, and Nt and Nc are the number of pixels of At and Ac, respectively.…”
Section: Results and Discusionsmentioning
confidence: 99%
“…Entropy-based time gating [10] 19.3326 Average trace subtraction [3] 26.0593 Entropy-based LRA [14] 37.6390 Differential SAR [9] 3.3156 Robust PCA [8] 33.4671 SVD with AIC [6] 9.9430 Proposed method 130.1 PCA = Principal Component Analysis, AIC = Akaike Information Criterion. V. CONCLUSION…”
Section: Methods Tcrmentioning
confidence: 99%
“…One of the several challenges is reducing the clutter present in the images produced by these systems to enhance their quality. Methods for reducing clutter in through-the-wall images include background subtraction, spatial filtering, image fusion, subspace projection, differential synthetic aperture radar (SAR), and entropy-based time gating [2][3][4][5][6][7][8][9][10][11][12][13]. These techniques have limitations.…”
Section: Introductionmentioning
confidence: 99%
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“…Another advantage of using the Canny edge detector is that APEX becomes less susceptible to noise, which is especially important in the context of GPR and through-the-wall applications, as evidenced by the significant efforts being made by various research teams to reduce clutter levels in surface penetration radar data [61][62][63].…”
Section: Hyperbola Apex Apex Coordinatesmentioning
confidence: 99%