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Asynchronous Distance Measurement for Smartphone-Based Localization Exploiting Chirp Signals

Title
Asynchronous Distance Measurement for Smartphone-Based Localization Exploiting Chirp Signals
Translated Title
CHIRP 신호를 이용한 비동기적 거리측정 방법
Authors
Lee, Hong Jae
DGIST Authors
Lee, Hong Jae; Hwang, Jae Youn; Park, Tae Joon; Kim, Min Soo
Advisor(s)
Hwang, Jae Youn; Park, Tae Joon
Co-Advisor(s)
Kim, Min Soo
Issue Date
2016
Available Date
2016-02-12
Degree Date
2016. 2
Type
Thesis
Keywords
Sensor networkDistance measurementLocalizationSmartphoneChirp signalSmartphone-based Ad-hoc Networks (SAN)센서 네트워크거리측정스마트폰CHIRP 신호스마트폰 기반 애드혹 네트워크
Abstract
In this paper, we present an new asynchronous, accurate, and real time distance measurement method using chirp signals, which is capable of accurately locating and tracking, thus forming an ad-hoc network among smartphones in an indoor (e.g., smart meeting room) environment. Also we propose a distance measurement which can overcome limitations of previous representative distance measurements of Received Signal Strength Indicator (RSSI) and Time of Arrival (TOA). It operates in spontaneous, smartphone-based ad-hoc networks (SAN), sensory-based context inference, and device-to-device context extraction systems without requiring well–organized infrastructures. We then implement our proposed method on two Samsung Galaxy S5, one of Commercial Off-The-Shelf (COTS) smartphones. Without modifying their hardware or OS kernel. Our experimental results demonstrate that it takes < 1 second to conduct network-wide distance measurements and the measurement error is <10 cm, which is treated as an allowable error, in at least 87% of the experiments. ⓒ 2016 DGIST
Table Of Contents
I. Introduction 7 -- II. Related Works 10 -- 2.1 RSSI 10 -- 2.2 TOA 11 -- III. Challenges of High Accuracy Localization 13 -- 3.1 Challenge of Time Synchronization 13 -- 3.2 Challenge of Asynchronous Localization 15 -- IV. Asynchronous Distance Measurement Method 19 -- V. Implementation Detail 23 -- 5.1 Chirp Signal Design 23 -- 5.2 Chirp Signal Detection 27 -- 5.3 Device orientation 28 -- VI. Evaluation 31 -- 6.1 Hardware Configuration 31 -- 6.2 Test Case Design 32 -- 6.3 Experimental Result 35 -- 6.3.1.1 Case 1 Result 37 -- 6.3.1.2 Case 2 Result 38 -- 6.3.1.3 Case 3 Result 38 -- VII. Conclusion 41 -- References 42
URI
http://dgist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002226996
http://hdl.handle.net/20.500.11750/1460
DOI
10.22677/thesis.2226996
Degree
Master
Department
Information and Communication Engineering
University
DGIST
Files:
Collection:
Information and Communication EngineeringThesesMaster


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