A NEW PARAMETER ESTIMATION METHOD FOR GTD MODEL BASED ON MODIFIED COMPRESSED SENSING

The electromagnetic scattering mechanism of radar targets in the high-frequency domain can be characterized exactly by geometrical theory of diffraction (GTD) model. In this paper, we propose a novel parameter estimation method for GTD model based on compressed sensing. The sparse characteristic of...

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Bibliographic Details
Published in:Electromagnetic waves (Cambridge, Mass.) Mass.), 2013-01, Vol.141, p.553-575
Main Authors: Yan, Xingwei, Hu, Jie-Min, Zhao, Ge, Zhang, Jun, Wan, Jianwei
Format: Article
Language:English
Subjects:
Image processing
Parameter estimation
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Summary:The electromagnetic scattering mechanism of radar targets in the high-frequency domain can be characterized exactly by geometrical theory of diffraction (GTD) model. In this paper, we propose a novel parameter estimation method for GTD model based on compressed sensing. The sparse characteristic of radar echoes is analyzed, and the parameter estimation problem is converted to one of sparse signal reconstruction. Furthermore, clustering and linear least-minimum-squares algorithms are utilized to improve the accuracy of the result. Compared with several modern spectral estimation techniques, the proposed method gives a more precise estimation of the GTD model parameters, especially the scattering centers. Simulations with synthetic and measured data in an anechoic chamber confirm the effectiveness of the method.
ISSN:1559-8985
1070-4698
1559-8985
DOI:10.2528/PIER13052017