Channel estimation for ambient Internet of things

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 ch...

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Main Authors: WANG Ruoheng, DONG Lan, LIU Ming, WANG Gongpu, AI Bo
Format: Article
Language:zho
Published: China InfoCom Media Group 2024-12-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00404/
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author WANG Ruoheng
DONG Lan
LIU Ming
WANG Gongpu
AI Bo
author_facet WANG Ruoheng
DONG Lan
LIU Ming
WANG Gongpu
AI Bo
author_sort WANG Ruoheng
collection DOAJ
description 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.
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institution Kabale University
issn 2096-3750
language zho
publishDate 2024-12-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-689d19889b0d4471ac79203a1261ebc12025-01-25T19:00:27ZzhoChina InfoCom Media Group物联网学报2096-37502024-12-01811011879606247Channel estimation for ambient Internet of thingsWANG RuohengDONG LanLIU MingWANG GongpuAI BoPassive 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.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00404/backscatter communicationchannel estimationcomplex exponential basis expansion modelCramér-Rao lower boundinternet of thingsphase noisespurs
spellingShingle WANG Ruoheng
DONG Lan
LIU Ming
WANG Gongpu
AI Bo
Channel estimation for ambient Internet of things
物联网学报
backscatter communication
channel estimation
complex exponential basis expansion model
Cramér-Rao lower bound
internet of things
phase noise
spurs
title Channel estimation for ambient Internet of things
title_full Channel estimation for ambient Internet of things
title_fullStr Channel estimation for ambient Internet of things
title_full_unstemmed Channel estimation for ambient Internet of things
title_short Channel estimation for ambient Internet of things
title_sort channel estimation for ambient internet of things
topic backscatter communication
channel estimation
complex exponential basis expansion model
Cramér-Rao lower bound
internet of things
phase noise
spurs
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00404/
work_keys_str_mv AT wangruoheng channelestimationforambientinternetofthings
AT donglan channelestimationforambientinternetofthings
AT liuming channelestimationforambientinternetofthings
AT wanggongpu channelestimationforambientinternetofthings
AT aibo channelestimationforambientinternetofthings