空地协同通信定位一体化无人机应急部署优化

毕宿志

doi:10.11959/j.issn.2096-3750.2024.00428

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空地协同通信定位一体化无人机应急部署优化

理论与技术 | 更新时间：2025-03-13

- 空地协同通信定位一体化无人机应急部署优化
- Emergency UAV deployment optimization in an integrated air-ground network with joint communication and localization service
- 物联网学报 2024年8卷第3期页码：1-15
- 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：
  
  [ "毕宿志（1987‒ ），男，博士，深圳大学电子与信息工程学院教授，主要研究方向为智能无线通信、移动计算、无线网络资源管理优化。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(62271325);广东省基础与应用基础研究基金资助项目;The Guangdong Basic and Applied Basic Research Foundation(2022A1515010973);深圳市科创委基础研究项目;The Shenzhen Science and Technology Program(20220810142637001)
- DOI：10.11959/j.issn.2096-3750.2024.00428
  中图分类号：
- 收稿日期：2024-09-12，
  
  修回日期：2024-09-24，
  
  纸质出版日期：2024-09-10
- 稿件说明：
移动端阅览
毕宿志.空地协同通信定位一体化无人机应急部署优化[J].物联网学报,2024,08(03):1-15.

BI Suzhi.Emergency UAV deployment optimization in an integrated air-ground network with joint communication and localization service[J].Chinese Journal on Internet of Things,2024,08(03):1-15.
毕宿志.空地协同通信定位一体化无人机应急部署优化[J].物联网学报,2024,08(03):1-15. DOI： 10.11959/j.issn.2096-3750.2024.00428.

BI Suzhi.Emergency UAV deployment optimization in an integrated air-ground network with joint communication and localization service[J].Chinese Journal on Internet of Things,2024,08(03):1-15. DOI： 10.11959/j.issn.2096-3750.2024.00428.

摘要

为探索复用一架无人机（UAV

unmanned aerial vehicle）同时用作空中基站和锚点辅助地面网络，构建空地协同通信定位一体化的新型应急网络方案。研究聚焦于网络中无人机位置部署优化问题，重点解决一体化部署中通信与定位性能的冲突难题。首先使用D-最优准则替代传统的克拉美劳下界（CRLB

Cramer-Rao lower bound)作为定位精度指标，建模了多用户定位精度和通信速率约束下最大化网络吞吐量的无人机三维部署优化问题。推导了满足地面用户定位精度约束条件的无人机可部署区域的闭合表达式，证明了该区域是以目标用户为顶点的标准二阶锥，从而将定位精度约束条件转化为易于分析处理的凸约束条件，并提出了高效的无人机三维部署优化方法。进而利用城市三维地图辅助无人机部署，解决了空地信道建模不精准导致的通信与定位性能保障差的问题。所提无人机部署方法在理论上便于求解最优部署位置，并且在空间上具有直观的几何特性，适合在应急场景下快速部署空地协同网络，精准保障满足地面用户的通信与定位性能需求。

Abstract

To exploite reusing a single unmanned aerial vehicle (UAV) to simultaneously act as an aerial base station and anchor point to assist the terrestrial emergency network

a novel integrated air-ground emergency support network was built with joint communication and localization service. The UAV position deployment optimization problem in the integrated network was studied

with a focus on resolving the fundamental and conflicting impacts of UAV deployment to the communication and localization performance. Firstly

a D-optimality based localization accuracy metric was adopted to replace the conventional Cramer-Rao lower bound (CRLB)

and a UAV deployment optimization problem that maximizes the network throughput was formulated under individual localization accuracy and communication rate constraints. The closed-form expression of feasible deployment region of a UAV was derived that could satisfy the localization accuracy requirements of ground user

which was shown to be a second-order cone with the target user being the vertex

and proposed efficient deployment algorithm accordingly. Then

a 3D city map assisted deployment scheme was proposed to address the inaccurate air-ground channel modeling problems. The proposed deployment method is analytically tractable for deriving the optimal deployment solution

and has intuitive geometric structure to facilitate fast and performance-guaranteed deployment of integrated air-ground networks to satisfy the communication and localization performance requirements of ground users.

关键词

Keywords

references

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