Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Hwang, Jae Youn | - |
dc.contributor.advisor | Park, Tae Joon | - |
dc.contributor.author | Lee, Hong Jae | - |
dc.date.accessioned | 2017-05-10T08:52:46Z | - |
dc.date.available | 2016-02-12T00:00:00Z | - |
dc.date.issued | 2016 | - |
dc.identifier.uri | http://dgist.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002226996 | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/1460 | - |
dc.description.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 | - |
dc.description.tableofcontents | 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 |
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dc.format.extent | 46 | - |
dc.language | eng | - |
dc.publisher | DGIST | - |
dc.subject | Sensor network | - |
dc.subject | Distance measurement | - |
dc.subject | Localization | - |
dc.subject | Smartphone | - |
dc.subject | Chirp signal | - |
dc.subject | Smartphone-based Ad-hoc Networks (SAN) | - |
dc.subject | 센서 네트워크 | - |
dc.subject | 거리측정 | - |
dc.subject | 스마트폰 | - |
dc.subject | CHIRP 신호 | - |
dc.subject | 스마트폰 기반 애드혹 네트워크 | - |
dc.title | Asynchronous Distance Measurement for Smartphone-Based Localization Exploiting Chirp Signals | - |
dc.title.alternative | CHIRP 신호를 이용한 비동기적 거리측정 방법 | - |
dc.type | Thesis | - |
dc.identifier.doi | 10.22677/thesis.2226996 | - |
dc.description.alternativeAbstract | 스마트폰이 대중화 되면서 이를 활용한 다양한 애플리케이션 시장이 급성장하고 있다. 특히 스마트폰이 다양한 센서들을 내장하고, 컴퓨터 못지 않은 데이터 처리능력을 갖춤으로써 기존의 센서 네트워크를 구성하는 디바이스들을 스마트폰으로 대체하는 연구들이 활발히 진행 중에 있다. 이러한 스마트폰 기반 네트워크를 구성하기 위해서는 네트워크를 구성하는 디바이스들 간의 거리측정이 우선적으로 이루어져야 한다. ⓒ 2016 DGIST | - |
dc.description.degree | Master | - |
dc.contributor.department | Information and Communication Engineering | - |
dc.contributor.coadvisor | Kim, Min Soo | - |
dc.date.awarded | 2016. 2 | - |
dc.publisher.location | Daegu | - |
dc.description.database | dCollection | - |
dc.date.accepted | 2016-02-12 | - |
dc.contributor.alternativeDepartment | 대학원 정보통신융합공학전공 | - |
dc.contributor.affiliatedAuthor | Lee, Hong Jae | - |
dc.contributor.affiliatedAuthor | Hwang, Jae Youn | - |
dc.contributor.affiliatedAuthor | Park, Tae Joon | - |
dc.contributor.affiliatedAuthor | Kim, Min Soo | - |
dc.contributor.alternativeName | 이홍재 | - |
dc.contributor.alternativeName | 황재윤 | - |
dc.contributor.alternativeName | 박태준 | - |
dc.contributor.alternativeName | 김민수 | - |