{"title":"多普勒频移高速多无人机通信的两级波束管理","authors":"Dong-Hwee Kim;Byungju Lim;Young-Chai Ko","doi":"10.1109/TVT.2025.3543690","DOIUrl":null,"url":null,"abstract":"In autonomous aerial vehicles (AAVs) communications, beam management is of vital importance for establishing and maintaining a directional link between a base station (BS) and multi-UAVs. However, it is challenging to acquire an actual angle of arrival (AoA) due to the Doppler frequency offset (DFO) caused by the mobility of UAV in high-speed. To deal with this challenge, we propose the two stage beam management consisting of beam training and beam tracking. In first phase, DFT beam training is proposed, especially with a phase rotation matrix to extract the actual AoA information by eliminating the DFO term. In second phase, Kalman filter (KF) beam tracking is proposed with monopulse signal to reduce the linearization loss. Simulation results demonstrate that our proposed scheme accurately estimates the actual AoA during beam training phase and is well tracking the AoA in high-speed scenarios.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 7","pages":"11585-11590"},"PeriodicalIF":7.1000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Two Stage Beam Management for High Speed Multi-UAV Communications With Doppler Shift\",\"authors\":\"Dong-Hwee Kim;Byungju Lim;Young-Chai Ko\",\"doi\":\"10.1109/TVT.2025.3543690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In autonomous aerial vehicles (AAVs) communications, beam management is of vital importance for establishing and maintaining a directional link between a base station (BS) and multi-UAVs. However, it is challenging to acquire an actual angle of arrival (AoA) due to the Doppler frequency offset (DFO) caused by the mobility of UAV in high-speed. To deal with this challenge, we propose the two stage beam management consisting of beam training and beam tracking. In first phase, DFT beam training is proposed, especially with a phase rotation matrix to extract the actual AoA information by eliminating the DFO term. In second phase, Kalman filter (KF) beam tracking is proposed with monopulse signal to reduce the linearization loss. Simulation results demonstrate that our proposed scheme accurately estimates the actual AoA during beam training phase and is well tracking the AoA in high-speed scenarios.\",\"PeriodicalId\":13421,\"journal\":{\"name\":\"IEEE Transactions on Vehicular Technology\",\"volume\":\"74 7\",\"pages\":\"11585-11590\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Vehicular Technology\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10892291/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10892291/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Two Stage Beam Management for High Speed Multi-UAV Communications With Doppler Shift
In autonomous aerial vehicles (AAVs) communications, beam management is of vital importance for establishing and maintaining a directional link between a base station (BS) and multi-UAVs. However, it is challenging to acquire an actual angle of arrival (AoA) due to the Doppler frequency offset (DFO) caused by the mobility of UAV in high-speed. To deal with this challenge, we propose the two stage beam management consisting of beam training and beam tracking. In first phase, DFT beam training is proposed, especially with a phase rotation matrix to extract the actual AoA information by eliminating the DFO term. In second phase, Kalman filter (KF) beam tracking is proposed with monopulse signal to reduce the linearization loss. Simulation results demonstrate that our proposed scheme accurately estimates the actual AoA during beam training phase and is well tracking the AoA in high-speed scenarios.
期刊介绍:
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.