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0 From RSSI to CSI: Indoor Localization via Channel Response
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BibTeX
@MISC{Yang_0from,
author = {Zheng Yang},
title = {0 From RSSI to CSI: Indoor Localization via Channel Response},
year = {}
}
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Abstract
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, 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. Breaking-through techniques resort to finer-grained wireless channel measurement than RSSI. Different from RSSI, the PHY layer power feature, channel response, is able to discriminate multipath characteristics, thus holds the potential for the convergence of accurate and pervasive indoor localization. Channel State Information (CSI, reflecting channel response in 802.11 a/g/n) has attracted many research efforts and some pioneer works have demonstrated sub-meter or even centimeter level accuracy. In this article, we survey this new trend of channel response in localization. The differences between CSI and RSSI are highlighted with respect to network layering, time resolution, frequency resolution, stability, and accessibility. Furthermore, we investigate a large body of recent works and classify them overall into three categories according to how
Keyphrases
channel response indoor localization spatial feature dramatic performance degradation many research effort finer-grained wireless channel measurement wireless indoor localization large body temporal dynamic vast indoor localization system location distinction time resolution new trend emitted wireless signal received signal strength indicator multipath characteristic frequency resolution level accuracy breaking-through technique resort recent work pervasive indoor localization mainstream wireless signal measurement phy layer power feature pioneer work channel state information complex situation
