国防科技大学电子对抗学院, 安徽合肥 230031
[ "杨仲平 男,1996年3月出生于辽宁开原. 现为国防科技大学电子对抗学院硕士研究生. 主要研究方向为阵列信号处理、凸优化理论. E‑mail:yangzhongping14@nudt.edu.cn" ]
[ "杨书宁 男,1996年11月出生于重庆万州. 现为国防科技大学电子对抗学院硕士研究生. 主要研究方向为阵列信号处理、稀疏理论. E‑mail:yangshuning14@nudt.edu.cn" ]
[ "周青松 男,1982年12月出生于安徽巢湖. 博士. 现为国防科技大学电子对抗学院副教授,研究生导师. 主要研究方向为凸优化理论、稀疏理论. E‑mail:zhouqingsong1207@gmail.com" ]
[ "张剑云(通信作者) 男,1963年9月出生于浙江龙泉. 博士. 现为国防科技大学电子对抗学院教授,博士生导师. 主要研究方向为雷达及目标环境模拟、雷达信号处理. E‑mail:zjy921@sina.com" ]
收稿:2020-11-16,
修回:2021-03-05,
纸质出版:2021-07-25
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杨仲平,杨书宁,周青松等.基于ADMM的低副瓣阵列区域聚焦照射[J].电子学报,2021,49(07):1370-1378.
YANG Zhong-ping,YANG Shu-ning,ZHOU Qing-song,et al.Regional Focusing Irradiation of Low Sidelobe Array Based on ADMM[J].ACTA ELECTRONICA SINICA,2021,49(07):1370-1378.
杨仲平,杨书宁,周青松等.基于ADMM的低副瓣阵列区域聚焦照射[J].电子学报,2021,49(07):1370-1378. DOI: 10.12263/DZXB.20201280.
YANG Zhong-ping,YANG Shu-ning,ZHOU Qing-song,et al.Regional Focusing Irradiation of Low Sidelobe Array Based on ADMM[J].ACTA ELECTRONICA SINICA,2021,49(07):1370-1378. DOI: 10.12263/DZXB.20201280.
区域聚焦照射(regional focusing irradiation)能将信号能量准确投送至指定区域,但阵列的超稀疏性使得副瓣区域能量较高,在实施精确电子战时极大增加了干扰系统遭受打击的风险,因此副瓣区域能量抑制问题必须加以解决.本文提出一种基于L
∞
范数评估栅瓣区域能量的方法,将其作为正则项引入区域聚焦照射模型以抑制副瓣区域最大能量,并建立了多目标优化模型.采用交替方向乘子(alternating direction method of multipliers)框架将原问题分解为两个子问题:对于恒模约束下二次规划子问题I,采用贪婪算法给出其闭式解;对于无约束L
2
‑L
∞
范数的子问题II,将L
∞
范数做近似光滑化处理,并通过梯度下降法求解.交替求解两个子问题至收敛,以求解发射信号.仿真实验表明,本文模型在副瓣区域能量抑制上较基于L
1
范数的区域聚焦照射模型具有更优性能,且本文算法实用性更强.
Regional focusing irradiation (RFI) can precisely bring the energy of the transmitted signals to the specific regions. However
the array ultra‑sparsity results in high energy level in the sidelobe regions
which increases the risk of the jamming system being attacked in precision electronic warfare. Therefore
it is significant to alleviate the energy level in the sidelobe regions. We propose a method based on L
∞
‑norm to evaluate the energy level in the grating lobe regions
and introduce it to the RFI model to establish a multiobjective optimization model to alleviate the maximum energy in the sidelobe regions. The ADMM (Alternating Direction Method of Multipliers) framework is adopted to separate the origin problem into two subproblems. For subproblem‑I
we adopt the greedy method to derive the closed‑form solutions of the unimodular quadratic program. Regarding subproblem‑II
which has L
2
‑L
∞
terms without constraints
we smoothen the L
∞
term approximately
and employ the gradient descent method to solve it. The transmitted signal is obtained when the solutions of two subproblems are convergent. Numerical experiments reveal that the proposed model has better performance on alleviating the energy in sidelobe regions
and the adopted algorithm is more practical than the method based on L
1
‑norm.
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