Path loss measurement and modeling for low-altitude UAV scenarios towards 3GPP ISAC standadization
Theory and Technology|更新时间:2025-03-13
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Path loss measurement and modeling for low-altitude UAV scenarios towards 3GPP ISAC standadization
Chinese Journal on Internet of ThingsVol. 8, Issue 3, Pages: 16-25(2024)
作者机构:
1.北京邮电大学网络与交换技术全国重点实验室,北京 100876
2.中国移动通信有限公司研究院,北京 100053
作者简介:
基金信息:
The National Natural Science Foundation of China(62341128;62201087;62401084;92167202);The National Science Foundation for Distinguished Young Scholars(61925102);The Beijing Natural Science Foundation(L243002)
MO Qingmei,ZHANG Yuxiang,LIU Yameng,et al.Path loss measurement and modeling for low-altitude UAV scenarios towards 3GPP ISAC standadization[J].Chinese Journal on Internet of Things,2024,08(03):16-25.
MO Qingmei,ZHANG Yuxiang,LIU Yameng,et al.Path loss measurement and modeling for low-altitude UAV scenarios towards 3GPP ISAC standadization[J].Chinese Journal on Internet of Things,2024,08(03):16-25. DOI: 10.11959/j.issn.2096-3750.2024.00426.
Path loss measurement and modeling for low-altitude UAV scenarios towards 3GPP ISAC standadization
With the advancement of the low-altitude economy and the widespread application of unmanned aerial vehicle (UAV)
regulatory challenges for UAV flights have significantly increased. Integrated sensing and communication (ISAC) technology is expected to solve the above problems. For this reason
the 3rd Generation Partnership Project (3GPP) had identified low-altitude UAV as one of the important application scenarios of ISAC technology. However
the fast flight speed
small size and high altitude of UAV could adversely affect the strength and quality of the received sensing signals. Consequently
there was an urgent need to investigate the path loss characteristics of the UAV sensing channel and develop effective model. Mono-static sensing channel measurements for UAV at frequencies of 15 GHz and 28 GHz were conducted. The impact of horizontal distance
vertical altitude differences
and the radar cross section (RCS) of the target on path loss were examined. The findings revealed low-coupling characteristics between the target and background channels. Subsequently
the path loss and distance model for the UAV sensing target channel was established
contributing to the ongoing progress of 3GPP standardization.
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references
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