5G波束赋形场景化应用策略分析  

Analysis of scenario application strategies for 5G beamforming

作　　者：张少华 王亚军 隋立林 ZHANG Shao-hua;WANG Ya-jun;SUI Li-lin(Zhundong Open-pit Coal Mine,Chn Energy Xinjiang Energy Co.,Ltd.,Changji 831100,Xinjiang Uygur Autonomous Region,China;Chn Energy Digital Intelligence Technology Development(Beijing)Co.,Ltd.,Beijing 100011,China)

机构地区：[1]国能新疆准东能源有限责任公司,新疆昌吉831100 [2]国能数智科技开发(北京)有限公司,北京100011

出　　处：《信息技术》2025年第3期116-121,127,共7页Information Technology

基　　金：国家自然科学基金项目(GDKJXM20210069)。

摘　　要：随着定位技术不断发展,定位精度在不断提高。为了进一步提升5G波束赋形定位的精度,降低较大定位误差的影响,研究设计了融合定位误差的毫米波大规模多输入多输出5G波束赋形算法。实验结果表明,改进算法的接受信噪比优于遍历搜索的波束赋形算法,平均增长了82.1%。改进算法的误差大多在2m以内,定位精度较高。随着角度误差的增大,改进的波束赋形算法接受端信噪比先稳定维持在35.8dB,后逐渐下降至30.0dB。综上所述,改进算法具有较好的鲁棒性和稳定性,这为位置信息应用到波束赋形技术中提供了一种新途径。With the continuous acceleration of positioning technology development,positioning accuracy is constantly improving.In order to further improve the accuracy of 5G beamforming positioning and reduce the impact of significant positioning errors,a millimeter wave large-scale Multi Input Multi Output 5G beamforming algorithm integrating positioning errors is studied and designed.The results show that the acceptance signal-to-noise ratio of the improved algorithm is superior to the beamforming algorithm of the traversal search,with an average increase of 82.1%.The error of the improved algorithm is mostly within 2m,and the positioning accuracy is relatively high.As the angle error increases,the improved beamforming algorithm maintains a stable signal-to-noise ratio of 35.8dB at the receiving end,and then gradually decreases to 30.0dB.In summary,the improved algorithm has good robustness and stability,which provides a new approach for applying position information to beamforming technology.

关 键 词：波束赋形 毫米波 多输入多输出 自主定位 

分 类 号：TN929.1[电子电信—通信与信息系统]