基于改进正交匹配追踪算法的属性散射中心提取

doi:10.12305/j.issn.1001-506X.2021.08.07

Abstract

Abstract:

The attribute scattering center model is a typical model to describe the backward electromagnetic scattering characteristics of the target, but the traditional orthogonal matching pursuit(OMP) algorithm has the problems of high complexity and long computation time when extracting the model parameters. Therefore, an improved OMP algorithm based on the generalized orthogonality of sparse dictionaries is proposed, which can quickly locate the position parameters of the model and avoid the optimization process in orthogonal matching for reducing the computational complexity of the algorithm. By comparing the computational complexity and computational accuracy of the two types of algorithms using multiple Monte Carlo experiments, the results show that the improved OMP algorithm improves the estimation accuracy and noise robustness of the model parameters, and significantly reduces the computational complexity of the algorithm. Compared with the traditional OMP algorithm, the computational time is reduced by at least 30%.

Key words: attributed scattering center, parameter extraction, orthogonal matching pursuit (OMP), data reconstruction

CLC Number:

TN957

Jiahua XU, Xiaokuan ZHANG, Shuyu ZHENG, Binfeng ZONG, Jingwei ZHANG. Attribute scattering center extraction based on improved orthogonal matching pursuit algorithm[J]. Systems Engineering and Electronics, 2021, 43(8): 2076-2082.

Figures/Tables 10

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References 20

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散射中心	参数
散射中心	A_n	α_n	L_n	x_n	$\overline \phi $_n	γ_n
Sc₁	1	0.5	1.2	-3	0	10^-10
Sc₂	1	-0.5	0	0.2	0	0
Sc₃	1	1	1	-1.1	0	10^-10
Sc₄	1	0.5	0	1.2	0	0
Sc₅	1	1	1	-2	0	10^-10

维度	算法
维度	传统OMP	优化OMP
A	1.211 4	0.024 9
B	37.663 7	0.052 9
C	67.361 2	0.100 4
D	108.454 9	0.196 3

维度	算法
维度	传统OMP	优化OMP
A	1.211 4	0.024 9
B	1.695 1	0.058 2
C	5.049 7	0.099 7
D	9.100 4	0.206 0

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Attribute scattering center extraction based on improved orthogonal matching pursuit algorithm

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