通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化

原哲; 郭重涛; 赵博

doi:10.11959/j.issn.2096-8930.2026008

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通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化

专题：卫星互联网星座设计与仿真技术 | 更新时间：2026-03-31

- 通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化
- Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks
- 天地一体化信息网络 2026年7卷第1期页码：71-79
- 作者机构：
  
  深圳大学电子与信息工程学院，广东深圳518060
- 作者简介：
  
  [ "原哲（2001- ），男，深圳大学硕士生，主要研究方向为通导遥一体卫星网络。" ]
  [ "郭重涛（1987- ），男，深圳大学副教授，主要研究方向为通导遥一体卫星网络、车联网、机器学习等。" ]
  [ "赵博（1986- ），男，深圳大学副教授，主要研究方向为单比特雷达系统设计、单比特雷达信号处理、单比特雷达关键芯片、高分辨遥感探测、电子对抗、识别解译等。" ]
- 基金信息：
  
  国家自然科学基金(62571342;62431021);广东省基础与应用基础研究基金(2025B1515020076);深圳市基础研究专项（自然科学基金）(JCYJ20230808105359045)
- DOI：10.11959/j.issn.2096-8930.2026008
  中图分类号： TN927
- 收稿：2025-08-20，
  
  修回：2025-12-01，
  
  纸质出版：2026-03-20
- 稿件说明：
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原哲,郭重涛,赵博.通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化[J].天地一体化信息网络,2026,07(01):71-79.

Yuan Zhe,Guo Chongtao,Zhao Bo.Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks[J].Space-Integrated-Ground Information Networks,2026,07(01):71-79.
原哲,郭重涛,赵博.通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化[J].天地一体化信息网络,2026,07(01):71-79. DOI： 10.11959/j.issn.2096-8930.2026008.

Yuan Zhe,Guo Chongtao,Zhao Bo.Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks[J].Space-Integrated-Ground Information Networks,2026,07(01):71-79. DOI： 10.11959/j.issn.2096-8930.2026008.

摘要

传统的通信卫星与遥感卫星通常独立运行，导致轨道、能量等资源利用率较低，且难以满足全球范围内的实时遥感需求。为提升资源利用率与网络整体性能，开展了通遥一体卫星网络的遥感脉冲频率与数据回传路由联合优化研究。首先，鉴于卫星的动态特性和可预测性周期运动，采用时间扩展图对卫星网络进行建模。其次在卫星成像和数据传输模型的基础上，构建一个能量和传输时隙约束下最大化脉冲重复频率的混合整数线性规划问题，同时针对该问题的高复杂度，提出一种基于Benders分解的求解算法，通过将原问题分解为主问题和子问题，降低问题复杂度并提高求解效率。最后开展仿真分析，仿真结果验证了所提算法的合理性和有效性，为通遥一体卫星网络的研究提供了参考依据。

Abstract

Traditional communication satellites and remote sensing satellites typically operate independently

not only resulting in low utilization of orbital

energy

and other resources

but also making it difficult to meet the demand for real-time global remote sensing. To enhance resource utilization and overall network performance

this study conducted research on the joint optimization of remote sensing pulse frequency and data backhaul routing for an integrated communication and remote sensing satellite network. Firstly

considering the dynamic characteristics and predictable periodic motion of satellites

the time-expanded graph was employed to model the satellite network. Selondly

based on satellite imaging and data transmission models

a mixed-integer linear programming problem was formulated to maximize the pulse repetition frequency under energy and transmission time-slot constraints. Meanwhile

to address the high computational complexity of the problem

a solution algorithm based on Benders decomposition was proposed

which decomposed the original problem into a master problem and a subproblem

thereby reducing computational complexity and improving efficiency. Finally

simulation analyses were performed

and the results verified the rationality and effectiveness of the proposed algorithm

providing a valuable reference for the study of integrated communication and remote sensing satellite networks.

关键词

Keywords

references

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