Is Centimeter Accuracy Achievable for LTE-CSI Fingerprint-Based Indoor Positioning?

Abstract

Channel state information (CSI) fingerprint based indoor positioning has been extensively studied. While centimeter-level positioning accuracy has been demonstrated for Wi-Fi systems, only meter-level accuracy was reported for Long-term Evolution (LTE) systems. To investigate whether the centimeter accuracy is achievable or not for LTE systems, we examine the factors that affect the positioning accuracy to guide the implementation of a LTE-CSI fingerprinting system, where a novel phase compensation method is proposed to improve the CSI quality. We demonstrate for the first time that the centimeter-level positioning accuracy is achievable for LTE systems through extensive experiments. INDEX TERMS Indoor positioning, fingerprinting, channel state information (CSI), LTE.

Towards adaptive quality-aware Complex Event Processing in the Internet of Things

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A Preliminary Study of Machine-Learning-Based Ranging with LTE Channel Impulse Response in Multipath Environment

“…In addition, the downlink LTE signals are freely available for navigation purposes. To estimate the absolute position of a user using LTE signals, several types of positioning methods (e.g., time-of-arrival (TOA) [20,21], time-difference-ofarrival (TDOA) [22,23], received signal strength indicator (RSSI) [24], and channel impulse response (CIR) [25][26][27] based methods) have been developed. Among those positioning methods, the RSSI-based and CIR-based positioning methods have the advantage of low complexity.…”

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