Research on a Method of Locating Civil Aviation Radio Interference Sources Based on Time Difference of Arrival and Frequency Difference of Arrival for Four Unmanned Aerial Vehicles.

Chao Zhou, Xingyu Zhu, Renhe Xiong, Kun Hu, Feng Ouyang, Chi Huang, Tao Huang

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chao ZhouInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, China.ORCID 0009-0009-3205-2159

Xingyu ZhuCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.ORCID 0009-0004-4168-7782

Renhe XiongCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.

Kun HuCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.

Feng OuyangCAAC Academy of Flight Technology and Safety, Civil Aviation Flight University of China, Guanghan 618307, China.

Chi HuangCollege of Air Traffic Management, Civil Aviation Flight University of China, Guanghan 618307, China.

Tao HuangInstitute of Electronic and Electrical Engineering, Civil Aviation Flight University of China, Guanghan 618307, China.

Funding

Civil Aviation Security Capacity Project in 2022 MHAQ2022028Independent Research Project of Key Laboratory of Civil Aviation Flight Technology and Flight Safety FZ2021ZZ03Scientific Research Project of Civil Aviation Flight University of China ZX2021-03

6 · The paper itself

Abstract

Monitoring and analyzing radio interference sources play a crucial role in ensuring the safe operation of civil aviation navigation, communication, airport management, and air traffic control. Traditional ground monitoring methods are slow and inadequate for tracking aerial and mobile interference sources effectively. Although flight methods such as helicopters and airships can effectively monitor aerial interference, the flight approval process is time-consuming and expensive. This paper investigates a novel approach to locating civil aviation radio interference sources using four unmanned aerial vehicles (UAVs) to address this issue. It establishes a model for aerial positioning of radio interference sources with the four UAVs and proposes a method for time synchronization and data communication among them. The paper conducts simulations of the four-UAV time-frequency difference positioning method, analyzing the geometric accuracy dilution with different deployment configurations of the UAVs, positioning biases, and root mean square errors (RMSEs) under varying interference source movement speeds. The simulation results provide crucial data to support subsequent experiments.

Indexed as

civil aviationfour UAVsradio interference sourcetime–frequency difference positioning

Identifiers

PMID37765996

DOI10.3390/s23187939

PMCPMC10537797

What Socratic holds

Textmetadata

LicenceCC BY

Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.