物联网学报2024，Vol.8Issue(4)：110-118,9.DOI:10.11959/j.issn.2096-3750.2024.00404
环境物联网中的信道估计
Channel estimation for ambient Internet of things
摘要
Abstract
Passive backscatter based ambient Internet of things(AIoT)was an important development direction for the future of IoT and currently attracted extensive attentions.In practical applications of AIoT,there existed strong self-interference caused by phase noise and spurs,which brought about new challenges for channel estimation.Therefore,an iterative channel estimator considering phase noise and spurs were designed for the AIoT system with two nodes.Specifically,the estimator was based on the least squares method and complex exponential basis expansion model(CE-BEM),and used iteration to improve estimation accuracy.The Cramér-Rao lower bound(CRLB)of channel estimation parameters was also derived to evaluate the theoretical limit of the estimation accuracy.Finally,simulation results were provided to corroborate the proposed studies.关键词
反向散射通信/信道估计/复指数基扩展模型/克拉美罗下界/物联网/相位噪声/杂散Key words
backscatter communication/channel estimation/complex exponential basis expansion model/Cramér-Rao lower bound/Internet of things/phase noise/spurs分类
信息技术与安全科学引用本文复制引用
王若珩,董岚,刘铭,王公仆,艾渤..环境物联网中的信道估计[J].物联网学报,2024,8(4):110-118,9.基金项目
国家重点研发计划和山东省重点研发计划联合资助项目(No.2021YFB3901300) （No.2021YFB3901300）
国家自然科学基金资助项目(No.U22B2004)The National Key Research and Development Program of China and Shandong Province(No.2021YFB3901300),The National Natural Science Foundation of China(No.U22B2004) （No.U22B2004）
