| Citation: | ZHENG Shuyu, ZHANG Xiaokuan, GUO Yiduo, et al. An improved 2D-TLS-ESPRIT algorithm of GTD model parameter estimation[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(10): 1982-1989. doi: 10.13700/j.bh.1001-5965.2019.0556(in Chinese)
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The parameter estimation and noise robustness ability of classical Two-Dimensional Total-Least-Square Estimating Signal Parameter via Rotational Invariance Techniques (2D-TLS-ESPRIT) algorithm are not effective when extracting parameters of the two-dimensional Geometric Theory of Diffraction (GTD) model. To solve this problem, an improved 2D-TLS-ESPRIT algorithm is proposed in this paper. Firstly, polarization scattering matrix is added into the two-dimensional GTD model and hence the full-polarization scattering center model can be obtained. Secondly, the covariance matrix of the original echo matrix can be achieved by constructing a permutation matrix. The length of electromagnetic scattering data can be added by combing these two matrices. Finally, the simulation results prove that parameter estimation performance and noise robustness ability of the improved algorithm are better than those of the same kind of algorithms. The Radar Cross Section (RCS) extrapolation results also validate the superiority of the improved algorithm in parameter estimation performance.
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