一种基于柔性形变天线的极化波束在线重构技术

陈志坤; 崔津赫; 王伟; 陈智斌; 郭云飞

doi:10.11999/JEIT240070

一种基于柔性形变天线的极化波束在线重构技术

doi: 10.11999/JEIT240070

1.
杭州电子科技大学自动化学院杭州 310018
2.
杭州电子科技大学圣光机联合学院杭州 310018
3.
钱塘科技创新中心杭州 310018

基金项目: 国家自然科学基金(61701148, 62371173)

详细信息

作者简介:
陈志坤：男，博士，副教授，硕士研究生导师，研究方向为雷达阵列信号处理与电子侦察

崔津赫：男，硕士生，研究方向为相控阵波束形成技术

王伟：男，博士，研究方向为柔性天线设计

陈智斌：男，硕士生，研究方向为相控阵波束形成技术

郭云飞：男，博士，教授，博士生导师，研究方向为目标跟踪，信息融合

通讯作者:
崔津赫　212320070@hdu.edu.cn

中图分类号: TN911
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- 文章访问数: 41
- HTML全文浏览量: 16
- PDF下载量: 5
- 被引次数: 0
出版历程
- 收稿日期: 2024-01-30
- 修回日期: 2024-03-27
- 网络出版日期: 2024-04-11

Polarized Beam Online Reconfiguration Technique For Flexible Deformation Antennas

1.
College of Automation, HangZzhou DianZi University, Hangzhou 310018, China
2.
ITMO joint institute, HangZhou DianZi University, Hangzhou 310018, China
3.
Qiantang Science and Technology Innovation Center, Hangzhou 310018, China

Funds: The National Natural Science Foundation of China (61701148, 62371173)

摘要

摘要: 针对柔性极化阵列天线因其结构实时形变而难以波束重构以及性能受损的问题，该文提出一种基于柔性形变天线的极化波束在线重构技术。首先，基于无人机机翼模型的柔性形变状态进行阵列建模，借助于模态法得到实时形变数据，在线重构天线阵列模型；其次，基于矢量阵列天线的阵元响应，构建3维空间中的柔性阵列信号模型；最后，将循环算法(CA)与2阶锥规划(SOCP)进行深度结合设计以求解最优极化波束重构的动态优化问题。仿真结果表明：在一定的形变范围内，即在环境载荷对不同弧度与角度需求下，该文所提方法能够实现在线天线阵列重构，并根据所测量应变位移数据而实现最优极化波束在线重构，方向图增益、波束宽度以及极化匹配设计均能满足工程应用要求。
- 柔性阵列天线 /
- 极化波束形成 /
- 天线阵列重构
Abstract: In response to the challenges posed by the deformation of flexible polarized array antennas, which results in difficulties in beam reconstruction and compromised beam performance, polarization beam online reconstruction technique based on flexible deformation polarized antennas is proposed in this paper. Firstly, the deformation state of the array is modeled based on a wing model, and real-time deformation data is obtained using modal analysis to reconstruct the antenna array model online. Secondly, the element response of vector array antenna is utilized to construct a flexible array antenna signal model in three-dimensional space. Finally, a deep integration of the Cyclic Algorithm (CA) and Second-Order Cone Programming (SOCP) is employed to solve the dynamic optimization problem of this optimal polarization beam reconstruction. Simulation results demonstrate that within a certain range of deformation and under different arc and angle requirements from environmental loads, the proposed method can achieve online antenna array reconstruction and real-time optimal polarization beam reconstruction based on the dynamic antenna array model. The directional gain, beamwidth, and polarization matching design all meet the requirements for practical engineering applications.
- Flexible array antenna /
- Polarization beamforming /
- Antenna array reconstruction

HTML全文

图 1 柔性阵列天线载机与阵列模型示意图

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图 2 柔性极化阵列天线阵元示意图

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图 3 柔性形变天线极化波束在线重构方案框图

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图 4 不同算法的最优极化波束形成

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图 5 两种柔性形变天线阵列模型

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图 6 理想阵列模型与重构阵列模型的最优波束形成

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图 7 $ d = {90^ \circ } $,$ k = 0.8 $时，柔性阵列天线的最优极化波束

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1 极化波束在线重构算法的实现步骤

输入：阵列模型变形时间，天线载荷，目标天线阵列模型，目标　波束方向，目标主瓣极化参数
循环开始：$ i $从$ 0 $～$ n $开始循环
步骤1　初始化，产生变形前柔性阵列天线模型。
步骤2　在$ {t_i} $时刻，柔性阵列天线阵列模型发生自主变形，通过　　　　模态法计算应变—位移矩阵，得到实际阵列模型。
步骤3　SOCP求解，通过原始-对偶内点法，根据实时阵列模　　　　型，得到最优极化状态以及波束矩阵。
循环结束

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表 1 不同算法求解最优极化波束形成指标分析

算法	r₀	θ_{–3 dB} (°)	$\varphi_{-3\;{\mathrm{dB}}} $ (°)	G	α	β	t(s)
IPF	(45.83°,91.67°)	12.7	26.8	19.7	7.32	17.34	335.62
IP-PDIPM	(45.83°,91.67°)	11.2	24.2	20.7	10.01	20.01	4 619.92
S-PDIPM	(45.83°,91.67°)	9.7	20.8	22.0	7.51	17.85	26.81

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表 2 理想阵列与重构阵列的波束效果对比

阵列	p	θ_{–3 dB} (°)	$\varphi_{-3\;{\mathrm{dB}}} $ (°)	G	α	β
理想阵列	–16.9	12.7	26.8	19.7	7.32	17.34
重构阵列	–17.1	9.7	20.8	22.0	7.511	17.85

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表 3 不同时刻柔性阵列机身弧面弧度对应极化波束响应($ d(t) \in ({60^ \circ },{100^ \circ }) $)

参数	t (s)
参数	10	20	30	40	50
d	60	70	80	90	100
p	–16.3	–16.5	–16.8	–16.5	–16.5
($\theta_{-3\;{\rm dB}} $,$\varphi_{-3\;{\mathrm{dB}}} $)	(9.2,25.3)°	(9.2,23.2)°	(9.0,23.6)°	(8.5,25.3)°	(9.3,20.7)°
G	21.3	21.7	21.7	21.7	22.2
(α,β)	(7.30,17.10)	(7.28,17.01)	(7.51,17.39)	(7.65,17.47)	(7.51,17.82)

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表 4 不同时刻柔性阵列两翼斜面夹角对应极化波束响应($ k(t) \in \left( {0.1,1.0} \right) $)

参数	t (s)
参数	10	20	30	40	50
k	0.2	0.4	0.6	0.8	1.0
p	–15.8	–17.0	–14.6	–14.4	–14.2
($\theta_{-3\;{\rm dB}} $, $\varphi_{-3\;{\rm dB}} $)	(10.8,19.4)°	(13.2,23.5)°	(11.2,20.8)°	(10.5,22.5)°	(11.3,19.7)°
G	21.8	20.1	21.3	21.3	21.5
(α,β)	(7.67,17.68)	(6.91,17.81)	(7.10,17.30)	(7.13,17.43)	(6.91,17.53)

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参考文献(16)

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