Analysis of UAV positioning accuracy based on OTFS-ISAC

LEI Ting; JIANG Fan; GONG Zijun; WU Huici; TAO Xiaofeng

doi:10.11959/j.issn.2096-3750.2025.00466

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Analysis of UAV positioning accuracy based on OTFS-ISAC

Theory and Technology | 更新时间：2026-01-26

- Analysis of UAV positioning accuracy based on OTFS-ISAC
- Chinese Journal on Internet of Things Vol. 9, Issue 3, Pages: 28-36(2025)
- 作者机构：
  
  1.北京邮电大学移动互联网安全技术国家工程研究中心，北京 100876
  2.鹏城实验室宽带通信研究部，广东深圳 518000
  3.香港科技大学（广州）物联网学域，广东广州 511453
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62327801)
- DOI：10.11959/j.issn.2096-3750.2025.00466
  CLC：
- Received：09 December 2024，
  
  Revised：2025-01-10，
  
  Published：10 September 2025
- 稿件说明：
移动端阅览
雷霆,姜帆,巩紫君等.基于正交时频空间—通信感知一体化的无人机定位精度分析[J].物联网学报,2025,09(03):28-36.

LEI Ting,JIANG Fan,GONG Zijun,et al.Analysis of UAV positioning accuracy based on OTFS-ISAC[J].Chinese Journal on Internet of Things,2025,09(03):28-36.
雷霆,姜帆,巩紫君等.基于正交时频空间—通信感知一体化的无人机定位精度分析[J].物联网学报,2025,09(03):28-36. DOI： 10.11959/j.issn.2096-3750.2025.00466.

LEI Ting,JIANG Fan,GONG Zijun,et al.Analysis of UAV positioning accuracy based on OTFS-ISAC[J].Chinese Journal on Internet of Things,2025,09(03):28-36. DOI： 10.11959/j.issn.2096-3750.2025.00466.

摘要

无人机在众多场景得到广泛的应用，通信感知一体化技术为满足无人机对通信和感知的巨大需求提供了新机遇，正交时频空间能够很好地满足通信感知一体化系统在高速移动场景下的定位要求。然而，在毫米波/太赫兹频段，基于大型天线阵列的正交时频空间的通信感知一体化基站遇到高速移动的无人机时，多普勒效应和波束斜视效应不可忽略。针对波束斜视效应，提出了一种基于快速傅里叶变换（FFT

fast Fourier transform）的迭代算法来进行定位估计，通过实验仿真分析，证明该算法可有效逼近克拉美罗下界。

Abstract

Unmanned aerial vehicles (UAVs) are widely used in various scenarios. The integrated sensing and communication (ISAC) technology offers new opportunities to meet the huge demands of UAVs for positioning. Orthogonal time frequency space (OTFS)

due to its delay-Doppler domain modulation characteristics

can well satisfy the sensing requirements of the ISAC system in high-speed mobile scenarios. However

in millimeter-wave (mmWave)/terahertz frequency band

when OTFS-ISAC based on large antenna arrays meets a high-speed moving UAV

Doppler effect and beam squint effect cannot be ignored. In response to the beam squint effect

an iterative algorithm based on the fast Fourier transform (FFT) was proposed for positioning estimation. Through experimental simulation and analysis

it is proved that this algorithm can effectively approach the Cramér-Rao lower bound (CRLB).

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references

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