5G可以作为监控雷达吗?美国军方资助宾汉姆顿大学学术研究

5G – the fifth-generation technology standard for broadband cellular networks — has been connecting millions of wireless devices since 2019, offering more pervasive connections, greater bandwidth and higher download speeds than its four predecessors.

5G-宽带蜂窝网络的第五代技术标准-自2019年以来已经连接了数百万无线设备，提供了比四个前辈更广泛的连接、更大的带宽和更快的下载速度。

Two researchers from Binghamton University are researching another use for those ubiquitous signals in addition to watching cat videos and posting photos of your delicious lunch on social media.

宾汉姆顿大学的两名研究人员正在研究这些无处不在的信号的另一种用途，除了观看猫视频和在社交媒体上发布美味午餐的照片之外的用途。

Associate Professors Yu Chen and Xiaohua Li — both faculty members at the Thomas J. Watson College of Engineering and Applied Science’s Department of Electrical and Computer Engineering — have received two grants to study whether 5G can be used similarly to radar by creating images based on how the carrier waves bounce off objects or people.

来自沃森工程学院电子与计算机工程系的副教授陈宇(音译)和李晓华(音译)已经获得了两笔资金，用于研究5G是否可以类似于雷达使用，方法是根据载波如何从物体或人身上反弹来创建图像。

One $297,082 grant from the U.S. Air Force Office of Scientific Research’s Dynamic Data and Information Processing (DDIP) program will fund the project, while an additional $295,282 grant from the Department of Defense’s Defense University Research Instrumentation Program (DURIP) will allow the purchase of necessary equipment.

来自美国空军科学研究办公室动态数据和信息处理(DDIP)计划的一笔297,082美元的研究基金将为该项目提供资金，而国防部国防大学研究仪器计划(DURIP)的另一笔295,282美元的资金将用来购买必要的设备。

The research will combine 5G-based sensing technologies with optical cameras for Environmental Resilience Surveillance Edge Service (ERSES-5G) networks. The networks would be kept secure using another development called Environmental Fingerprint-based Consensus Blockchain (ENFChain), authenticating data sources, bookmarking data transactions and encrypting the data to deter hackers.

这项研究将把基于5G的传感技术与光学摄像头结合起来，用于环境弹性监测边缘服务(ERSES-5G)网络。网络将使用另一种名为基于环境指纹的共识区块链(ENFChain)的开发来确保安全，该开发可以对数据源进行身份验证，为数据交易添加书签，并对数据进行加密以阻止黑客。

“We can leverage the advanced features of 5G communication,” Chen said. “It has a shorter delay and is more reliable because of the density of its base stations and antennas. At the same time, we will explore the security, safety and robustness of the system. We are going to integrate new technology like machine learning and blockchain into the system.

陈教授说：“我们可以利用5G通信的先进功能”。由于其基站和天线的密度，它具有更短的延迟和更可靠的性能。同时，我们将对系统的安全性和稳健性进行探讨。我们将把机器学习和区块链等新技术整合到系统中。

“The Air Force has to make sure the system deployed in a battlefield must be secure. Enemies always try to compromise your system, steal your information and insert false information to mislead you.”

“空军必须确保部署在战场上的系统必须是安全的。敌人总是试图危害你的系统，窃取你的信息，并插入虚假信息来误导你。“

Chen and Li hope to build what they call “full-spectrum surveillance,” integrating optical cameras and other devices in addition to this new 5G sensing so that it will work in all weather conditions. Figuring out the limitations of such a network is also a priority.

陈教授和李教授希望建立他们所说的“全光谱监控”，除了这种新的5G传感设备外，还集成了光学摄像头和其他设备，这样它就可以在任何天气条件下工作。弄清楚这样一个网络的局限性也是当务之急。

“Our millimeter-wave camera using 5G signals works similarly to an infrared camera,” Li said. “We can make the imaging work in all weather conditions, in the daytime or at night. It can help an optical camera system.”

李教授说：“我们使用5G信号的毫米波摄像头的工作原理类似于红外摄像头”。“我们可以让成像系统在任何天气条件下都能工作，无论是白天还是晚上。它可以帮助光学摄像系统。“

The military applications are obvious, allowing troops on the ground in urban areas to see enemy combatants around corners or in dark spaces where they otherwise would be hidden. Eventual civilian uses could include anything from home healthcare to commercial security systems.

军事应用是显而易见的，允许驻扎在城市地区的地面部队在角落或黑暗的空间看到敌方战斗人员，否则他们就会被隐藏起来。最终的民用用途可能包括从家庭医疗保健到商业安全系统的任何东西。

This 5G project builds on research that Chen and Li have done separately and together over the past decade, exploring intelligent surveillance, wireless information security and cognitive radio networks. Both researchers point to long and fruitful relationships with the Air Force Research Laboratory (AFRL) in Rome, N.Y., and other U.S. military funders for their success in landing these two grants.

这个5G项目建立在他们过去十年里各自和共同做的研究的基础上，探索智能监控、无线信息安全和认知无线电网络。两位研究人员都指出，他们与纽约罗马的空军研究实验室(AFRL)和其他美国军事资助者建立了长期而富有成效的关系，使他们成功地获得了这两笔研究资金。

“Our system is first of its kind, which I believe can increase the visibility of Binghamton University,” Chen said. “We are pushing the frontier of smart applications for the Air Force and the Department of Defense to protect the interests of our nation. With that support, along with our close collaborations with researchers such as Alexander Aved from the AFRL, we can explore deeper and have Binghamton’s reputation build up in this area. Everybody tries to propose something new, but our unique combination of experts should result in success.”

陈教授说“我们的系统是同类系统中的第一个，我相信这可以提高宾汉姆顿大学的知名度”。我们正在推进空军和国防部的智能应用前沿，以保护我们国家的利益。在这种支持下，再加上我们与空军研究实验室的亚历山大·阿维德(Alexander Ave)等研究人员的密切合作，我们可以更深入地探索，并在这一领域建立宾汉姆顿的声誉。每个人都试图提出新的建议，但我们独特的专家组合应该会取得成功。“

The AFOSR grant is titled “Integrated 5G Imaging and Communication Surveillance as an Edge Service Secured by a Lightweight Environmental Fingerprint Consensus Blockchain.” The DURIP grant is “5G-MiWIS: A Testbed for an Environmental Resilient 5G Millimeter Wave Imaging Technology based Surveillance System.”

空军科学研究办公室的研究基金的标题是“集成的5G成像和通信监控作为一项由轻型环境指纹共识区块链保护的边缘服务。”国防部国防大学研究仪器计划的研究是“5G-MiWIS：基于环境弹性的5G毫米波成像技术监视系统的试验台”。