设备免费无线手势识别5G-NR信号

Rui Peng, Yadong Zhao, Yafei Tian, Shengqian Han
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引用次数: 3

摘要

无设备无线传感是下一代通信系统的重要研究方向,近年来受到越来越多的关注。手势识别是最流行的应用之一。尽管通过商用WiFi或长期演进(LTE)信号进行手势识别已经得到了很好的研究,但很少有工作利用新无线电(NR)信号,尽管NR已经广泛商业化。与以前的宽带通信系统相比,NR在频率范围1的最大带宽进一步提高到100mhz。在此基础上,提出了一种基于NR的干扰活动下的手势识别方案。分析了时域信道路径泄漏的影响,提出了一种多路径提取和组合方法,将期望的手势从背景运动中分离出来。建立了一个原型系统,验证了在干扰条件下的手势识别性能,并研究了信号带宽对识别性能的影响。
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Device Free Wireless Gesture Recognition by 5G-NR Signal
Device free wireless sensing is an important research direction for next generation communication systems, which attracts increasing attention recently. Hand gesture recognition is one of the most popular applications. Although gesture recognition via commodity WiFi or Long Term Evolution (LTE) signal is well studied, seldom work exploits New Radio (NR) signal despite NR is already extensively commercialized. Compared with previous wideband communication system, the maximum bandwidth of NR is further improved to 100 MHz in Frequency Range 1. On this basis, we propose an NR based hand gesture recognition scheme in the presence of interference activities. We analyze the effect of time domain channel path leakage, and propose a multi-path extraction and combination method, which can separate the expected gesture from background movements. A prototype system is built to demonstrate the performance of gesture recognition in the presence of interference, and the influence of signal bandwidth is studied as well.
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