面向无人机雷达通信一体化系统的轨迹与资源联合优化

范绍帅; 王煜菲; 田辉; Jie Zhang; 史金鑫

doi:10.11959/j.issn.1000-436x.2021201

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面向无人机雷达通信一体化系统的轨迹与资源联合优化

学术论文 | 更新时间：2024-06-05

- 面向无人机雷达通信一体化系统的轨迹与资源联合优化
- Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system
- 通信学报 2021年42卷第11期页码：182-192
- 作者机构：
  
  1. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
  2. 英国谢菲尔德大学电子与电气工程系，谢菲尔德 S102TN
  3. 中国人民解放军32683部队，辽宁沈阳 110000
- 作者简介：
  
  [ "范绍帅（1987− ），男，山东烟台人，博士，北京邮电大学讲师，主要研究方向为5G及后5G组网及关键技术、智能信息处理及网络自组织技术、高精度定位技术" ]
  [ "王煜菲（1997−），女，吉林松原人，北京邮电大学硕士生，主要研究方向为雷达通信一体化、无线网络资源分配等" ]
  [ "田辉（1963− ），女，河南郑州人，博士，北京邮电大学教授、博士生导师，主要研究方向为先进移动通信系统及无线网络技术" ]
  [ "Jie Zhang（1967− ），男，山东济南人，博士，英国谢菲尔德大学教授，主要研究方向为无线通信网络规划与优化、下一代无线通信网等" ]
  [ "史金鑫（1983− ），男，辽宁康平人，中国人民解放军32683部队助理工程师，主要研究方向为网络信息化技术" ]
- 基金信息：
  
  国家自然科学基金资助项目(61790553);国家自然科学基金资助项目(61801044)
- DOI：10.11959/j.issn.1000-436x.2021201
  中图分类号： TN914
- 网络出版日期：2021-11，
  
  纸质出版日期：2021-11-25
- 稿件说明：
移动端阅览
范绍帅, 王煜菲, 田辉, 等. 面向无人机雷达通信一体化系统的轨迹与资源联合优化[J]. 通信学报, 2021,42(11):182-192.

Shaoshuai FAN, Yufei WANG, Hui TIAN, et al. Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system[J]. Journal on communications, 2021, 42(11): 182-192.
范绍帅, 王煜菲, 田辉, 等. 面向无人机雷达通信一体化系统的轨迹与资源联合优化[J]. 通信学报, 2021,42(11):182-192. DOI： 10.11959/j.issn.1000-436x.2021201.

Shaoshuai FAN, Yufei WANG, Hui TIAN, et al. Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system[J]. Journal on communications, 2021, 42(11): 182-192. DOI： 10.11959/j.issn.1000-436x.2021201.

摘要

针对灵活高效的区域探测和数据回传任务，研究了时分复用模式下无人机雷达通信一体化系统（IRCS）的时间资源分配、功率资源分配和无人机轨迹的联合优化问题，以达到最大化系统雷达探测链路和通信传输链路的加权总容量的目的。为解决该非凸优化问题，采用了块坐标下降（BCD）算法及逐次凸逼近（SCP）技术，迭代优化时间资源分配、功率资源分配和无人机轨迹。仿真结果表明，所提方案可以得到收敛解，并且可以有效提升系统容量。

Abstract

For the flexible and efficient area detection and data transmission tasks

the joint optimization of time resource allocation

power resource allocation and the trajectory for UAV (unmanned aerial vehicle) trajectory for airborne IRCS (integrated radar and communication system) was studied in a TDM (time division multiplexing) manner

in order to maximize the total weighted capacity of the system’s radar detection link and communication transmission link.To solve the non-convex optimization problem

the BCD (block coordinate descent) and the SCP (successive convex programming) techniques were adopted to iteratively optimize the time resource allocation

power resource allocation and UAV trajectory.The simulation results demonstrate that the proposed method can obtain a convergent solution

and can effectively improve the capacity of the system.

关键词

Keywords

references

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