A Multi-UAV Collaborative Positioning Algorithm for Ground Fake Base Station in Low-SNR Environment

Fake base stations pose a serious threat to communication security, and accurately locating these stations is essential for effectively managing this issue. To tackle the challenge of efficient and precise positioning of fake base stations over large areas, this paper proposes a unmanned aerial vehicle (UAV) group collaborative passive positioning algorithm that integrates multi-domain information. To initially identify the approximate region of the fake base station and approach it within a large-scale area, this paper introduces a dynamic approach algorithm to adjust the geometric layout of the UAV group based on Horizontal Dilution of Precision (HDOP) and Time Difference of Arrival (TDoA). Once the approximate location of the fake base station is identified, and considering that the UAV group can only capture the weak sidelobe signals leaked by the fake base station at high altitudes, this paper proposes a positioning algorithm that integrates both time-domain and phase-domain information to further enhance positioning accuracy and overcome noise interference.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174499
Primary Topic
UAV Applications and Optimization
Type
article
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article

A Multi-UAV Collaborative Positioning Algorithm for Ground Fake Base Station in Low-SNR Environment

Hui Tian, Shihao Tao, Shaoshuai Fan
UAV Applications and Optimization
article

A Multi-UAV Collaborative Positioning Algorithm for Ground Fake Base Station in Low-SNR Environment

Hui Tian, Shihao Tao, Shaoshuai Fan
article en

Abstract

Fake base stations pose a serious threat to communication security, and accurately locating these stations is essential for effectively managing this issue. To tackle the challenge of efficient and precise positioning of fake base stations over large areas, this paper proposes a unmanned aerial vehicle (UAV) group collaborative passive positioning algorithm that integrates multi-domain information. To initially identify the approximate region of the fake base station and approach it within a large-scale area, this paper introduces a dynamic approach algorithm to adjust the geometric layout of the UAV group based on Horizontal Dilution of Precision (HDOP) and Time Difference of Arrival (TDoA). Once the approximate location of the fake base station is identified, and considering that the UAV group can only capture the weak sidelobe signals leaked by the fake base station at high altitudes, this paper proposes a positioning algorithm that integrates both time-domain and phase-domain information to further enhance positioning accuracy and overcome noise interference.

Beijing University of Posts and Telecommunications (CN), State Key Laboratory of Networking and Switching Technology
Openalex Percentile: Top 65%
UAV Applications and Optimization
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A Multi-UAV Collaborative Positioning Algorithm for Ground Fake Base Station in Low-SNR Environment — Hui Tian, Shihao Tao, et al. · (2025) | TGRS Research Map | TGRS