通控一体化场景下的卫星鲁棒波束成形算法

doi:10.12305/j.issn.1001-506X.2026.11.38

系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (11): 4092-4099.doi: 10.12305/j.issn.1001-506X.2026.11.38

通控一体化场景下的卫星鲁棒波束成形算法

管如萱¹(), 王子宁², 杨柳³, 刘笑宇⁴, 欧阳键⁴

1. 南京邮电大学波特兰学院，江苏南京 210023
2. 苏州科技大学电子与信息工程学院，江苏苏州 215009
3. 航天工程大学电子与光学工程系，北京 101416
4. 南京邮电大学通信与信息工程学院，江苏南京 210003

收稿日期:2025-09-12 修回日期:2026-01-27 出版日期:2026-10-25 发布日期:2026-04-28
通讯作者: 欧阳键 E-mail:pepper_guan@163.com
作者简介:管如萱（2002—），女，硕士研究生，主要研究方向为无线网络控制、可视化仿真平台构建
王子宁（1997—），男，讲师，博士，主要研究方向为智能信号处理、无线通信
杨　柳（1989—），女，讲师，博士，主要研究方向为航天测控
刘笑宇（1996—），男，副教授，博士，主要研究方向为空天地一体化网络中的优化设计与性能分析
基金资助:
国家自然科学基金（62471255）；智能化航天测运控教育部重点实验室基金（CYK2024-02-03）；江苏省研究生科研与实践创新计划（KYCX25_1326）；南京邮电大学引进人才自然科学研究启动基金（NY224068）；江苏省高等学校自然科学研究项目（25KJD510011）资助课题

Robust beamforming for integrated communication and control in satellite systems

Ruxuan Guan¹(), Zining Wang², Liu Yang³, Xiaoyu Liu⁴, Jian Ouyang⁴

1. Portland Institute，Nanjing University of Posts and Telecommunications，Nanjing 210023，China
2. School of Electronic and Information Engineering，Suzhou University of Science and Technology，Suzhou 215009，China
3. Department of Electronic and Optical Engineering，Space Engineering University，Beijing 101416，China
4. College of Telecommunications and Information Engineering，Nanjing University of Posts and Telecommunications，Nanjing 210003，China

Received:2025-09-12 Revised:2026-01-27 Online:2026-10-25 Published:2026-04-28
Contact: Jian Ouyang E-mail:pepper_guan@163.com

摘要/Abstract

摘要：

如何实现通信和控制一体化是当前卫星通信领域的一个崭新研究课题，针对存在干扰的场景，在仅已知非完美信道状态信息的条件下，提出一种鲁棒波束成形算法，保障卫星系统控制稳定性的同时降低系统的能耗。首先，在配置阵列天线的低轨卫星同时接收控制信号和干扰的场景下，建立以信关站发射功率最小化为目标函数、卫星控制稳定性和卫星所受最大干扰满足要求为约束的优化问题。针对该非凸问题，借助李雅普诺夫稳定性定理重构控制稳定性约束，并进一步提出伯恩斯坦不等式和连续凸逼近相结合的鲁棒波束成形算法，求得最优功率分配系数和波束成形权矢量。最后，仿真结果表明所提算法可以在更低功耗下实现优于现有算法的控制性能，有助于提高星载资源利用效率，为通信与控制协同设计提供可靠的理论参考。

关键词: 控制稳定性, 通控一体化, 鲁棒波束成形, 卫星通信

Abstract:

How to achieve integration of communication and control is a novel research topic in the field of satellite communication. A robust beamforming algorithm is proposed for scenarios with interference, under the condition of only known imperfect channel state information, to ensure the control stability of the satellite system while reducing the energy consumption of the system. Firstly, in the scenario where a low-Earth orbit satellite with an array antenna simultaneously receives control signals and interference, an optimization problem is established with the minimization of the transmit power of the gateway station as the objective function, and the constraints of satisfying the requirements for satellite control stability and maximum interference experienced by the satellite. For this non-convex problem, the control stability constraint is reconstructed by using the Lyapunov stability theorem, and a robust beamforming algorithm combining Bernstein’s inequality and successive convex approximation is further proposed to obtain the optimal power allocation coefficient and beamforming weight vector. Finally, simulation results show that the proposed algorithm can achieve better control performance than existing algorithms with lower power consumption, which is helpful to improve the utilization efficiency of satellite-borne resources and provides a reliable theoretical reference for the cooperative design of communication and control.

Key words: control stability, integrated communication and control, robust beamforming, satellite communication

中图分类号:

TN 927

管如萱, 王子宁, 杨柳, 刘笑宇, 欧阳键. 通控一体化场景下的卫星鲁棒波束成形算法[J]. 系统工程与电子技术, 2026, 48(11): 4092-4099.

Ruxuan Guan, Zining Wang, Liu Yang, Xiaoyu Liu, Jian Ouyang. Robust beamforming for integrated communication and control in satellite systems[J]. Systems Engineering and Electronics, 2026, 48(11): 4092-4099.

图/表 7

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参考文献 31

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参数	数值
载波频率$ f $/$ \text{GHz} $	20
最大波束增益$ {G}_{s} $/$ \text{dB} $	18
地球站最大天线增益$ {G}_{r,C} \text{/} \text{dB} $	30
上/下变频器最大天线增益$ {G}_{r,U}\text{/}\text{dB} $	20
卫星天线数量$ {N}_{s} $	16
天线间距$ {d}_{x},{d}_{y} $	0.5
LEO卫星轨道高度$ h\text{/}\text{km} $	600
信关站位置$ {x}_{G},{y}_{G}\text{/}\text{km} $	11, −7
干扰机1位置$ {x}_{J1},{y}_{J1}\text{/}\text{km} $	−14, 7.5
干扰机2位置$ {x}_{J2},{y}_{J2}\text{/}\text{km} $	−13, 6
带宽$ B\text{/}\text{MHz} $	50
噪声温度$ {T}_{S}\text{/}\text{K} $	300

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通控一体化场景下的卫星鲁棒波束成形算法

Robust beamforming for integrated communication and control in satellite systems

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