基于改进OMP算法的稀疏目标微波关联成像方法

doi:10.12305/j.issn.1001-506X.2021.07.04

Abstract

Abstract:

When sparse reconstruction method is used for radar microwave correlation imaging, the traditional orthogonal matching pursuit (OMP) algorithm needs to solve the least square solution of the objective function in each iteration, which leads to a sharp increase in the computational complexity of the imaging algorithm with the increase of the matrix size and the number of iterations. In order to solve this problem, an improved OMP microwave correlation imaging method for sparse targets combined with frequency agility. Firstly, the mechanism of microwave correlation imaging is clarified, and the signal model of microwave correlation imaging is constructed. Then, the least square solution step of OMP algorithm is improved by using conjugate gradient method, and the calculation amount of the improved algorithm is analyzed. Finally, the correctness and superiority of the proposed algorithm is verified by comparative simulation experiments with least square imaging method, matched filtering imaging method and imaging method based on traditional OMP coefficent reconstruction.

Key words: frequency agility, forward looking imaging, random radiation field, sparse reconstruction, least square, conjugate gradient, microwave correlation

CLC Number:

TN95

Rui ZHANG, Yinghui QUAN, Shengqi ZHU, Yachao LI, Mengdao XING. Microwave correlation imaging method based on improved OMP algorithm for sparse targets[J]. Systems Engineering and Electronics, 2021, 43(7): 1756-1765.

Figures/Tables 12

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References 30

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参数	数值
脉冲宽度/μs	30
脉冲重复频率/kHz	25
信号带宽/MHz	24
脉冲数/个	32
阵元数/个	16
频率步进量/MHz	9.15
距离向采样点数	4 320
网格数	61×61
网格划分范围/m	X方向: 10~70 Y方向: 10~70
网格大小/m	1×1

调试目标	算法
调试目标	匹配滤波法	最小二乘法	传统OMP算法	改进OMP算法
3个点目标	0.11	7.91	2.10	0.12
飞机目标	0.12	8.06	2.14	0.15

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Microwave correlation imaging method based on improved OMP algorithm for sparse targets

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