基于蜂窝信号的无ICI信道估计与无线手势识别
ICI-Free Channel Estimation and Wireless Gesture Recognition Based on Cellular Signals
AI总结：
本文研究蜂窝信号中小区间干扰（ICI）对无线感知的影响，提出一种通过重构相邻小区广播信号并求解联立方程的无ICI信道估计方法，并基于商用4G-LTE原型系统验证了其在无线手势识别中的有效性。
摘要：
无设备无线感知因无需额外设备即可感知环境而备受关注。尽管蜂窝信号是优质的机会无线电源，但小区间干扰（ICI）对无线感知的影响尚未得到充分解决。本文首先研究ICI的成因及其对无线感知的影响。随后，通过重构相邻小区的广播信号并求解联立方程，提出一种无ICI的信道估计方法。缓解ICI能极大促进无线手势识别。最后，构建原型系统接收商用4G-LTE信号，并验证了各种条件下无线手势识别的准确率。
英文摘要：
Device-free wireless sensing attracts enormous attentions since it senses the environment without additional devices. While cellular signals are good opportunistic radio sources, the influence of inter-cell interference (ICI) on wireless sensing has not been adequately addressed. In this letter, we first investigate the cause of ICI and its impact on wireless sensing. Then we propose an ICI-free channel estimation method by reconstructing the broadcast signals of adjacent cells and solving simultaneous equations. Wireless gesture recognition can be greatly benefited by ICI mitigation. Finally, we build a prototype system to receive the commercial 4G-LTE signals, and demonstrate the accuracies of wireless gesture recognition under various conditions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
