From RSSI to CSI: Indoor localization via channel response

The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However...

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Main Authors: YANG, Zheng, ZHOU, Zimu, LIU, Yunhao
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2013
Subjects:
CSI
Online Access:https://ink.library.smu.edu.sg/sis_research/4538
https://ink.library.smu.edu.sg/context/sis_research/article/5541/viewcontent/RSSI2CSI.pdf
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-55412022-05-25T07:16:43Z From RSSI to CSI: Indoor localization via channel response YANG, Zheng ZHOU, Zimu LIU, Yunhao The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics. 2013-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4538 info:doi/10.1145/2543581.2543592 https://ink.library.smu.edu.sg/context/sis_research/article/5541/viewcontent/RSSI2CSI.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Indoor localization RSSI CSI human detection Programming Languages and Compilers Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Indoor localization
RSSI
CSI
human detection
Programming Languages and Compilers
Software Engineering
spellingShingle Indoor localization
RSSI
CSI
human detection
Programming Languages and Compilers
Software Engineering
YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
From RSSI to CSI: Indoor localization via channel response
description The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics.
format text
author YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
author_facet YANG, Zheng
ZHOU, Zimu
LIU, Yunhao
author_sort YANG, Zheng
title From RSSI to CSI: Indoor localization via channel response
title_short From RSSI to CSI: Indoor localization via channel response
title_full From RSSI to CSI: Indoor localization via channel response
title_fullStr From RSSI to CSI: Indoor localization via channel response
title_full_unstemmed From RSSI to CSI: Indoor localization via channel response
title_sort from rssi to csi: indoor localization via channel response
publisher Institutional Knowledge at Singapore Management University
publishDate 2013
url https://ink.library.smu.edu.sg/sis_research/4538
https://ink.library.smu.edu.sg/context/sis_research/article/5541/viewcontent/RSSI2CSI.pdf
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