GTD model parameter estimation and target recognition based on improved 3D-ESPRIT algorithm

被引：1
|
作者：
Xu J. [1 ,2 ]
Zhang X. [2 ]
Zheng S. [1 ,2 ]
Zong B. [2 ]
Zheng S. [1 ,2 ]
机构：
[1] Air and Missile Defense College, Air Force Engineering University, Xi'an
[2] Graduate school, Air Force Engineering University, Xi'an
[3] Xi'an University of Architecture and Technology, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2021年 / 43卷 / 02期
关键词：
Geometric theory of diffraction (GTD) scattering center model; Parameter estimation; Scattering center; Target recognition; Three-dimensional estimating signal parameter via rotational invariance techniques (3D-ESPRIT) algorithm;
D O I：
10.12305/j.issn.1001-506X.2021.02.07
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the traditional three-dimensional estimating signal parameter via rotational invariance techniques (3D-ESPRIT) algorithm and quadratic-forward-backward 3D-ESPRIT (Q-FB-3D-ESPRIT) algorithm significantly reduce the estimation accuracy of geometric theory of diffraction (GTD) model parameters under the condition of low signal to noise ratio (SNR), an improved polarized-Q-FB-3D-ESPRIT (PQ-FB-3D-ESPRIT) algorithm is proposed. Compared with the above two traditional algorithms, the improved algorithm increases the use of target polarization information and effectively extends the length of available electromagnetic scattering data. The simulation results show that the parameter estimation accuracy of the improved algorithm is higher than that of the other two algorithms, especially in the case of low SNR. In addition, the radar target recognition based on scattering center model is studied, and the simulation results further verify the feasibility of the proposed algorithm. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：336 / 342
页数：6
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