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Open AccessArticle

Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR

College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
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Sensors 2019, 19(14), 3227; https://doi.org/10.3390/s19143227
Received: 13 June 2019 / Revised: 17 July 2019 / Accepted: 19 July 2019 / Published: 22 July 2019
(This article belongs to the Special Issue Sensors In Target Detection)
Special phase modulation of SAR echoes resulted from target rotation or vibration, is a phenomenon called the micro-Doppler (m-D) effect. Such an effect offers favorable information for micro-motion (MM) target detection, thereby improving the performance of the synthetic aperture radar (SAR) system. However, when there are MM targets with large differences in reflection coefficient, the weak reflection components will be difficult to be detected. To find a solution to this problem, we propose a novel algorithm. First, we extract and detect the strongest reflection component. By removing the strongest reflection component from the original azimuth echo one by one, we realize the detection of reflection components sequentially, from the strongest to the weakest. Our algorithm applies to detecting MM targets with different reflection coefficients and has high precision of parameter estimation. The results of simulation and field experiments verify the advantages of the algorithm. View Full-Text
Keywords: synthetic aperture radar (SAR); micro-Doppler effect; detection algorithm; parameter estimation; TF analysis; Hough transform; large dynamic reflection coefficient synthetic aperture radar (SAR); micro-Doppler effect; detection algorithm; parameter estimation; TF analysis; Hough transform; large dynamic reflection coefficient
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Zhou, Y.; Bi, D.; Shen, A.; Wang, X.; Wang, S. Hough Transform-Based Large Dynamic Reflection Coefficient Micro-Motion Target Detection in SAR. Sensors 2019, 19, 3227.

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