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作 者:陈耀文[1] 陈旭丹 陈安华[1] 陈贝妮 吴迪韬 刘建强[1] CHEN Yao-wen;CHEN Xu-dan;CHEN An-hua;CHEN Bei-ni;WU Di-tao;LIU Jian-qiang(China Mobile Group Guangdong Co.,Ltd.,Guangzhou 510623,China)
机构地区:[1]中国移动通信集团广东有限公司,广州510623
出 处:《电信工程技术与标准化》2025年第3期16-23,共8页Telecom Engineering Technics and Standardization
摘 要:在低空经济蓬勃发展的当下,无人机的广泛应用与飞鸟的自然飞行活动给低空安全带来了复杂挑战。准确识别飞鸟和无人机对于保障低空安全至关重要。本文聚焦于5G-A通感一体技术,深入探究其在飞鸟与无人机识别领域的应用与实践。通过融合AI智算、大模型深度学习以及多站协同与数据融合策略,利用5G-A通感一体技术高速率、大连接、低时延和高精度感知的特性,构建了高效的识别体系。在数据计算部分,运用具体算法进行信号处理、特征提取与模型训练,并通过准确率、召回率等指标评估识别性能。经低空安防实际案例验证,该技术能够有效区分飞鸟和无人机,充分验证了5G-A通感一体技术在飞鸟和无人机识别方面的实际应用价值,为低空安全防护提供了可靠的技术支持。With the vigorous development of the low-altitude economy,the widespread application of drones and the natural fl ight activities of birds pose complex challenges to low-altitude safety.Accurately identifying birds and drones is crucial for ensuring low-altitude safety.This paper focuses on the 5G-A communication and sensing integration technology and delves deeply into its application and practice in the field of bird and drone identification.By integrating AI intelligent computing,deep learning of large models,as well as multistation collaboration and data fusion strategies,and taking advantage of the characteristics of high data rate,large connection capacity,low latency,and high-precision perception of the 5G-A communication and sensing integration technology,an efficient identification system has been constructed.In the data calculation part,specific algorithms are used for signal processing,feature extraction,and model training,and the identification performance is evaluated through indicators such as accuracy and recall rate.Verified by actual cases of lowaltitude security,this technology can effectively distinguish between birds and drones,fully verifying the practical application value of the 5G-A communication and sensing integration technology in the identification of birds and drones,and providing reliable technical support for low-altitude safety protection.
分 类 号:TN929.5[电子电信—通信与信息系统]
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