Abstract

This paper aims at proposing a new wireless indoor localization system (ILS), called TrackCC, based on a commercial type of low-power system-on-chip (SoC), nRF24LE1. This type of chip has only l output power levels and acute fluctuation for a received minimum power level in operation, which give rise to many practical challenges for designing localization algorithms. In order to address these challenges, we exploit the Markov theory to construct a -sized state transition matrix to remove the fluctuation, and then propose a priority-based pattern matching algorithm to search for the most similar match in the signal map to estimate the real position of unknown nodes. The experimental results show that, compared to two existing wireless ILSs, LANDMARC and SAIL, which have meter level positioning accuracy, the proposed TrackCC can achieve the decimeter level accuracy on average in both line-of-sight (LOS) and non-line-of-sight (NLOS) senarios.

Highlights

  • Localization plays a key role in various business scenarios

  • This paper proposes a new wireless indoor localization system, called TrackCC, which is built on a commercial type of low-power low-cost chip, nRF24LE1

  • In the aspect of hardware cost, for a medium or large localization area, unlike SpotFi [3] that needed to deploy multiple access points (APs) with continuous power supplies, and LANDMARC, including its variants VIRE [12] and SAIL[11], which needed to deploy very expensive RFID readers to receive the signal of tags with relatively long distances, the proposed system just needs to deploy the corresponding number of cheap wireless nodes according to actual site area

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Summary

Introduction

Localization plays a key role in various business scenarios. The most famous localization system is the Global Position System (GPS). When a target tag goes into the communication range of readers, the system receives a power level vector between the target and these readers, and uses this vector by matching to calculate the current position of the target Another ILS, called SAIL [11], utilized the feature that nearby reference nodes have similar signal strengths. In the aspect of hardware cost, for a medium or large localization area, unlike SpotFi [3] that needed to deploy multiple access points (APs) with continuous power supplies, and LANDMARC, including its variants VIRE [12] and SAIL[11], which needed to deploy very expensive RFID readers to receive the signal of tags with relatively long distances, the proposed system just needs to deploy the corresponding number of cheap wireless nodes according to actual site area.

System Framework
Background and Problem
Offline Stage
Deployment
Remove Fluctuation
Online Stage
Similarity Calculation
Priority-Base Pattern Matching
The Performance in the LOS Scenario
The Effect of Fluctuation Removal
Euclidean Distance and DTW
The Performance of Priority Conversion Rule
The Localization Effect for Different Sizes of Grids
The Performance in the NLOS Scenario
Findings
Conclusions

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