Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system

Shaoshuai FAN; Yufei WANG; Hui TIAN; Jie Zhang; Jinxin SHI

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

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Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system

Papers | 更新时间：2024-06-05

- Joint optimization of trajectory and resource allocation for UAV integrated radar and communication system
- Journal on Communications Vol. 42, Issue 11, Pages: 182-192(2021)
- 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：
- 基金信息：
  
  The National Natural Science Foundation of China(61790553);The National Natural Science Foundation of China(61801044)
- DOI：10.11959/j.issn.1000-436x.2021201
  CLC： TN914
- Online First：2021-11，
  
  Published：25 November 2021
- 稿件说明：
移动端阅览
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：

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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