Indoor Geolocation Science and Technology :: At the Emergence of Smart World and IoT.
Precise and accurate localization is one of the fundamental scientific and engineering technologies needed for the applications enabling the emergence of the Smart World and the Internet of Things (IoT). Popularity of localization technology began when the GPS became open for commercial applications...
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| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Aalborg :
River Publishers,
2019.
|
| Schriftenreihe: | River Publishers series in communications.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Precise and accurate localization is one of the fundamental scientific and engineering technologies needed for the applications enabling the emergence of the Smart World and the Internet of Things (IoT). Popularity of localization technology began when the GPS became open for commercial applications in early 1990's. Since most commercial localization applications are for indoors and GPS does not work indoors, the discovery of opportunistic indoor geolocation technologies began in mid-1990's. Because of complexity and diversity of science and technology involved in indoor Geolocation, this area has emerged as its own discipline over the past two decades. At the time of this writing, received signal strength (RSS) based Wi-Fi localization is dominating the commercial market complementing cell tower localization and GPS technologies using the time of arrival (TOA) technology. Wi-Fi localization technology takes advantage of the random deployment of Wi-Fi devices worldwide to support indoor and urban area localization for hundreds of thousands of applications on smart devices. Public safety and military applications demand more precise localization for first responders and military applications deploy specialized infrastructure for more precise indoor geolocation. To enhance the performance both industries are examining hybrid localization techniques. Hybrid algorithms use a variety of sensors to measure the speed and direction of movement and integrate them with the absolute radio frequency localization. Indoor Geolocation Science and Technology is a multidisciplinary book that presents the fundamentals of opportunistic localization and navigation science and technology used in different platforms such as: smart devices, unmanned ground and flying vehicles, and existing cars operating as a part of intelligent transportation systems. Material presented in the book are beneficial for the Electrical and Computer Engineering, Computer Science, Robotics Engineering, Biomedical Engineering or other disciplines who are interested in integration of navigation into their multi-disciplinary projects. The book provides examples with supporting MATLAB codes and hands-on projects throughout to improve the ability of the readers to understand and implement variety of algorithms. It can be used for both academic education, as a textbook with problem sets and projects, and the industrial training, as a practical reference book for professionals involved in design and performance evaluation. The author of this book has pioneering research experience and industrial exposure in design and performance evaluation of indoor geolocation based on empirical measurement and modeling of the behavior of the radio propagation in indoor areas and inside the human body. The presentation of the material is based on examples of research and development that his students have performed in his laboratory, his teaching experiences as a professor, and his experiences as a technical consultant to successful startup companies. |
| Beschreibung: | 4.3.4 CRLB for TOA Ranging Using Multi-Carrier Transmission |
| Beschreibung: | 1 online resource (494 pages) |
| ISBN: | 8770220506 9788770220507 9781003338536 1003338534 9781000793086 1000793087 9781000796605 1000796604 |
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| 245 | 1 | 0 | |a Indoor Geolocation Science and Technology : |b At the Emergence of Smart World and IoT. |
| 260 | |a Aalborg : |b River Publishers, |c 2019. | ||
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| 490 | 1 | |a River Publishers Series in Communications Ser. | |
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| 505 | 0 | |a Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Indoor Geolocation Science and Technology At the Emergence of Smart World and IoT; Copyright Page; Dedication; Contents; Preface; Chapter 1 -- Introduction: Localization in Smart World; 1.1 Introduction; 1.2 Elements of Localization Science; 1.3 Localization Technology and Applications; 1.3.1 Localization for Smart Devices; 1.3.2 Localization for the Robots; 1.3.3 Localization in Smart Health; 1.3.4 Smart Spaces and Localization Using RFID; 1.3.5 Localization for Smart Transportation Systems | |
| 505 | 8 | |a 1.3.6 Localization for Smart Infrastructure1.4 Some Existing Challenges in Localization; 1.5 Overview of the Book; Assignments for Chapter One; Chapter 2 -- Fundamentals of RSS Ranging; 2.1 Introduction; 2.2 Modeling RSS Behavior for Ranging; 2.2.1 LS Estimation of RSS Model Parameters; 2.2.2 NIST Model for RSS inside the Human Body; 2.2.3 IEEE 802.11 Model for Indoor Areas; 2.2.4 Okumura-Hata Model for Urban Areas; 2.2.5 Behavior of Shadow Fading and Localization Applications; 2.3 RSS-Based Ranging and Distance Measurement Error; 2.3.1 Measurement of Distance using the RSS | |
| 505 | 8 | |a 2.3.2 An Analytical Method to Calculate the Variance of DME2.4 Classical Estimation Theory and RSS-Based Ranging; 2.4.1 ML and MMSE Estimation for RSS-Based Ranging; 2.4.2 Range Estimation with Multiple RSS Measurements; 2.4.3 CRLB for Ranging with RSS Measurement; 2.4.4 CRLB for Ranging with Multiple RSS Measurements; 2.5 Confidence Regions for RSS-Based Ranging; 2.5.1 Circular Confidence Regions for an RSS-Based Ranging; 2.5.2 Rim-Shaped Confidence Regions for RSS-Based Ranging; 2.5.3 Confidence and Probability of Coverage; Assignments for Chapter Two; Chapter 3 -- RSS Positioning Systems | |
| 505 | 8 | |a 3.1 Introduction3.2 Performance of RSS Positioning Methods; 3.2.1 Positioning Using RSS Directly; 3.2.2 CRLB for Positioning Using RSS Directly; 3.2.3 RSS-Based Ranging Using a Fingerprint; 3.2.4 CRLB for Positioning Using an RSS Fingerprint Database; 3.3 Positioning Systems Using RSS Directly; 3.3.1 RSS-Based Localization Inside the Human Body; 3.3.2 RSS-Based Passive RFID Systems; 3.3.3 RSS-Based Active RFID Systems; 3.4 Positioning Systems Using RSS Fingerprint Database; 3.4.1 RTLS Wi-Fi Positioning Using RSS Fingerprints; 3.4.2 WPS Wi-Fi Positioning Using RSS Fingerprints | |
| 505 | 8 | |a 3.4.3 WPS versus GPS3.4.4 WPS and Organic Data; 3.4.5 CPS Cell Tower Localization Using RSS Fingerprinting; Chapter 4 -- Fundamentals of TOA Positioning; 4.1 Introduction; 4.2 Measurement of TOA in Practice; 4.2.1 NB and WB Measurement of TOA; 4.2.2 Measurement Time, Measurement Noise, and SNR; 4.2.3 Ambiguity in NB and WB TOA Measurements; 4.2.4 Using Two Sinusoids to Control NB Ambiguity; 4.3 CRLB for TOA Ranging; 4.3.1 Comparison of TOA- and RSS-Based Ranging; 4.3.2 CRLB for TOA Ranging Using the Carrier Signal; 4.3.3 CRLB for TOA Ranging Using Two Tones | |
| 500 | |a 4.3.4 CRLB for TOA Ranging Using Multi-Carrier Transmission | ||
| 520 | |a Precise and accurate localization is one of the fundamental scientific and engineering technologies needed for the applications enabling the emergence of the Smart World and the Internet of Things (IoT). Popularity of localization technology began when the GPS became open for commercial applications in early 1990's. Since most commercial localization applications are for indoors and GPS does not work indoors, the discovery of opportunistic indoor geolocation technologies began in mid-1990's. Because of complexity and diversity of science and technology involved in indoor Geolocation, this area has emerged as its own discipline over the past two decades. At the time of this writing, received signal strength (RSS) based Wi-Fi localization is dominating the commercial market complementing cell tower localization and GPS technologies using the time of arrival (TOA) technology. Wi-Fi localization technology takes advantage of the random deployment of Wi-Fi devices worldwide to support indoor and urban area localization for hundreds of thousands of applications on smart devices. Public safety and military applications demand more precise localization for first responders and military applications deploy specialized infrastructure for more precise indoor geolocation. To enhance the performance both industries are examining hybrid localization techniques. Hybrid algorithms use a variety of sensors to measure the speed and direction of movement and integrate them with the absolute radio frequency localization. Indoor Geolocation Science and Technology is a multidisciplinary book that presents the fundamentals of opportunistic localization and navigation science and technology used in different platforms such as: smart devices, unmanned ground and flying vehicles, and existing cars operating as a part of intelligent transportation systems. Material presented in the book are beneficial for the Electrical and Computer Engineering, Computer Science, Robotics Engineering, Biomedical Engineering or other disciplines who are interested in integration of navigation into their multi-disciplinary projects. The book provides examples with supporting MATLAB codes and hands-on projects throughout to improve the ability of the readers to understand and implement variety of algorithms. It can be used for both academic education, as a textbook with problem sets and projects, and the industrial training, as a practical reference book for professionals involved in design and performance evaluation. The author of this book has pioneering research experience and industrial exposure in design and performance evaluation of indoor geolocation based on empirical measurement and modeling of the behavior of the radio propagation in indoor areas and inside the human body. The presentation of the material is based on examples of research and development that his students have performed in his laboratory, his teaching experiences as a professor, and his experiences as a technical consultant to successful startup companies. | ||
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| contents | Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Indoor Geolocation Science and Technology At the Emergence of Smart World and IoT; Copyright Page; Dedication; Contents; Preface; Chapter 1 -- Introduction: Localization in Smart World; 1.1 Introduction; 1.2 Elements of Localization Science; 1.3 Localization Technology and Applications; 1.3.1 Localization for Smart Devices; 1.3.2 Localization for the Robots; 1.3.3 Localization in Smart Health; 1.3.4 Smart Spaces and Localization Using RFID; 1.3.5 Localization for Smart Transportation Systems 1.3.6 Localization for Smart Infrastructure1.4 Some Existing Challenges in Localization; 1.5 Overview of the Book; Assignments for Chapter One; Chapter 2 -- Fundamentals of RSS Ranging; 2.1 Introduction; 2.2 Modeling RSS Behavior for Ranging; 2.2.1 LS Estimation of RSS Model Parameters; 2.2.2 NIST Model for RSS inside the Human Body; 2.2.3 IEEE 802.11 Model for Indoor Areas; 2.2.4 Okumura-Hata Model for Urban Areas; 2.2.5 Behavior of Shadow Fading and Localization Applications; 2.3 RSS-Based Ranging and Distance Measurement Error; 2.3.1 Measurement of Distance using the RSS 2.3.2 An Analytical Method to Calculate the Variance of DME2.4 Classical Estimation Theory and RSS-Based Ranging; 2.4.1 ML and MMSE Estimation for RSS-Based Ranging; 2.4.2 Range Estimation with Multiple RSS Measurements; 2.4.3 CRLB for Ranging with RSS Measurement; 2.4.4 CRLB for Ranging with Multiple RSS Measurements; 2.5 Confidence Regions for RSS-Based Ranging; 2.5.1 Circular Confidence Regions for an RSS-Based Ranging; 2.5.2 Rim-Shaped Confidence Regions for RSS-Based Ranging; 2.5.3 Confidence and Probability of Coverage; Assignments for Chapter Two; Chapter 3 -- RSS Positioning Systems 3.1 Introduction3.2 Performance of RSS Positioning Methods; 3.2.1 Positioning Using RSS Directly; 3.2.2 CRLB for Positioning Using RSS Directly; 3.2.3 RSS-Based Ranging Using a Fingerprint; 3.2.4 CRLB for Positioning Using an RSS Fingerprint Database; 3.3 Positioning Systems Using RSS Directly; 3.3.1 RSS-Based Localization Inside the Human Body; 3.3.2 RSS-Based Passive RFID Systems; 3.3.3 RSS-Based Active RFID Systems; 3.4 Positioning Systems Using RSS Fingerprint Database; 3.4.1 RTLS Wi-Fi Positioning Using RSS Fingerprints; 3.4.2 WPS Wi-Fi Positioning Using RSS Fingerprints 3.4.3 WPS versus GPS3.4.4 WPS and Organic Data; 3.4.5 CPS Cell Tower Localization Using RSS Fingerprinting; Chapter 4 -- Fundamentals of TOA Positioning; 4.1 Introduction; 4.2 Measurement of TOA in Practice; 4.2.1 NB and WB Measurement of TOA; 4.2.2 Measurement Time, Measurement Noise, and SNR; 4.2.3 Ambiguity in NB and WB TOA Measurements; 4.2.4 Using Two Sinusoids to Control NB Ambiguity; 4.3 CRLB for TOA Ranging; 4.3.1 Comparison of TOA- and RSS-Based Ranging; 4.3.2 CRLB for TOA Ranging Using the Carrier Signal; 4.3.3 CRLB for TOA Ranging Using Two Tones |
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Chapter 2 -- Fundamentals of RSS Ranging; 2.1 Introduction; 2.2 Modeling RSS Behavior for Ranging; 2.2.1 LS Estimation of RSS Model Parameters; 2.2.2 NIST Model for RSS inside the Human Body; 2.2.3 IEEE 802.11 Model for Indoor Areas; 2.2.4 Okumura-Hata Model for Urban Areas; 2.2.5 Behavior of Shadow Fading and Localization Applications; 2.3 RSS-Based Ranging and Distance Measurement Error; 2.3.1 Measurement of Distance using the RSS</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.3.2 An Analytical Method to Calculate the Variance of DME2.4 Classical Estimation Theory and RSS-Based Ranging; 2.4.1 ML and MMSE Estimation for RSS-Based Ranging; 2.4.2 Range Estimation with Multiple RSS Measurements; 2.4.3 CRLB for Ranging with RSS Measurement; 2.4.4 CRLB for Ranging with Multiple RSS Measurements; 2.5 Confidence Regions for RSS-Based Ranging; 2.5.1 Circular Confidence Regions for an RSS-Based Ranging; 2.5.2 Rim-Shaped Confidence Regions for RSS-Based Ranging; 2.5.3 Confidence and Probability of Coverage; Assignments for Chapter Two; Chapter 3 -- RSS Positioning Systems</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.1 Introduction3.2 Performance of RSS Positioning Methods; 3.2.1 Positioning Using RSS Directly; 3.2.2 CRLB for Positioning Using RSS Directly; 3.2.3 RSS-Based Ranging Using a Fingerprint; 3.2.4 CRLB for Positioning Using an RSS Fingerprint Database; 3.3 Positioning Systems Using RSS Directly; 3.3.1 RSS-Based Localization Inside the Human Body; 3.3.2 RSS-Based Passive RFID Systems; 3.3.3 RSS-Based Active RFID Systems; 3.4 Positioning Systems Using RSS Fingerprint Database; 3.4.1 RTLS Wi-Fi Positioning Using RSS Fingerprints; 3.4.2 WPS Wi-Fi Positioning Using RSS Fingerprints</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.4.3 WPS versus GPS3.4.4 WPS and Organic Data; 3.4.5 CPS Cell Tower Localization Using RSS Fingerprinting; Chapter 4 -- Fundamentals of TOA Positioning; 4.1 Introduction; 4.2 Measurement of TOA in Practice; 4.2.1 NB and WB Measurement of TOA; 4.2.2 Measurement Time, Measurement Noise, and SNR; 4.2.3 Ambiguity in NB and WB TOA Measurements; 4.2.4 Using Two Sinusoids to Control NB Ambiguity; 4.3 CRLB for TOA Ranging; 4.3.1 Comparison of TOA- and RSS-Based Ranging; 4.3.2 CRLB for TOA Ranging Using the Carrier Signal; 4.3.3 CRLB for TOA Ranging Using Two Tones</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">4.3.4 CRLB for TOA Ranging Using Multi-Carrier Transmission</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Precise and accurate localization is one of the fundamental scientific and engineering technologies needed for the applications enabling the emergence of the Smart World and the Internet of Things (IoT). Popularity of localization technology began when the GPS became open for commercial applications in early 1990's. Since most commercial localization applications are for indoors and GPS does not work indoors, the discovery of opportunistic indoor geolocation technologies began in mid-1990's. Because of complexity and diversity of science and technology involved in indoor Geolocation, this area has emerged as its own discipline over the past two decades. At the time of this writing, received signal strength (RSS) based Wi-Fi localization is dominating the commercial market complementing cell tower localization and GPS technologies using the time of arrival (TOA) technology. Wi-Fi localization technology takes advantage of the random deployment of Wi-Fi devices worldwide to support indoor and urban area localization for hundreds of thousands of applications on smart devices. Public safety and military applications demand more precise localization for first responders and military applications deploy specialized infrastructure for more precise indoor geolocation. To enhance the performance both industries are examining hybrid localization techniques. Hybrid algorithms use a variety of sensors to measure the speed and direction of movement and integrate them with the absolute radio frequency localization. Indoor Geolocation Science and Technology is a multidisciplinary book that presents the fundamentals of opportunistic localization and navigation science and technology used in different platforms such as: smart devices, unmanned ground and flying vehicles, and existing cars operating as a part of intelligent transportation systems. Material presented in the book are beneficial for the Electrical and Computer Engineering, Computer Science, Robotics Engineering, Biomedical Engineering or other disciplines who are interested in integration of navigation into their multi-disciplinary projects. The book provides examples with supporting MATLAB codes and hands-on projects throughout to improve the ability of the readers to understand and implement variety of algorithms. It can be used for both academic education, as a textbook with problem sets and projects, and the industrial training, as a practical reference book for professionals involved in design and performance evaluation. The author of this book has pioneering research experience and industrial exposure in design and performance evaluation of indoor geolocation based on empirical measurement and modeling of the behavior of the radio propagation in indoor areas and inside the human body. 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| id | ZDB-4-EBA-on1084444996 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:20Z |
| institution | BVB |
| isbn | 8770220506 9788770220507 9781003338536 1003338534 9781000793086 1000793087 9781000796605 1000796604 |
| language | English |
| oclc_num | 1084444996 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (494 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | River Publishers, |
| record_format | marc |
| series | River Publishers series in communications. |
| series2 | River Publishers Series in Communications Ser. |
| spelling | Pahlavan, Kaveh, 1951- https://id.oclc.org/worldcat/entity/E39PBJtCxwWfhcwKFQCgxY6R8C http://id.loc.gov/authorities/names/n94069611 Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. Aalborg : River Publishers, 2019. 1 online resource (494 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier River Publishers Series in Communications Ser. Print version record. Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Indoor Geolocation Science and Technology At the Emergence of Smart World and IoT; Copyright Page; Dedication; Contents; Preface; Chapter 1 -- Introduction: Localization in Smart World; 1.1 Introduction; 1.2 Elements of Localization Science; 1.3 Localization Technology and Applications; 1.3.1 Localization for Smart Devices; 1.3.2 Localization for the Robots; 1.3.3 Localization in Smart Health; 1.3.4 Smart Spaces and Localization Using RFID; 1.3.5 Localization for Smart Transportation Systems 1.3.6 Localization for Smart Infrastructure1.4 Some Existing Challenges in Localization; 1.5 Overview of the Book; Assignments for Chapter One; Chapter 2 -- Fundamentals of RSS Ranging; 2.1 Introduction; 2.2 Modeling RSS Behavior for Ranging; 2.2.1 LS Estimation of RSS Model Parameters; 2.2.2 NIST Model for RSS inside the Human Body; 2.2.3 IEEE 802.11 Model for Indoor Areas; 2.2.4 Okumura-Hata Model for Urban Areas; 2.2.5 Behavior of Shadow Fading and Localization Applications; 2.3 RSS-Based Ranging and Distance Measurement Error; 2.3.1 Measurement of Distance using the RSS 2.3.2 An Analytical Method to Calculate the Variance of DME2.4 Classical Estimation Theory and RSS-Based Ranging; 2.4.1 ML and MMSE Estimation for RSS-Based Ranging; 2.4.2 Range Estimation with Multiple RSS Measurements; 2.4.3 CRLB for Ranging with RSS Measurement; 2.4.4 CRLB for Ranging with Multiple RSS Measurements; 2.5 Confidence Regions for RSS-Based Ranging; 2.5.1 Circular Confidence Regions for an RSS-Based Ranging; 2.5.2 Rim-Shaped Confidence Regions for RSS-Based Ranging; 2.5.3 Confidence and Probability of Coverage; Assignments for Chapter Two; Chapter 3 -- RSS Positioning Systems 3.1 Introduction3.2 Performance of RSS Positioning Methods; 3.2.1 Positioning Using RSS Directly; 3.2.2 CRLB for Positioning Using RSS Directly; 3.2.3 RSS-Based Ranging Using a Fingerprint; 3.2.4 CRLB for Positioning Using an RSS Fingerprint Database; 3.3 Positioning Systems Using RSS Directly; 3.3.1 RSS-Based Localization Inside the Human Body; 3.3.2 RSS-Based Passive RFID Systems; 3.3.3 RSS-Based Active RFID Systems; 3.4 Positioning Systems Using RSS Fingerprint Database; 3.4.1 RTLS Wi-Fi Positioning Using RSS Fingerprints; 3.4.2 WPS Wi-Fi Positioning Using RSS Fingerprints 3.4.3 WPS versus GPS3.4.4 WPS and Organic Data; 3.4.5 CPS Cell Tower Localization Using RSS Fingerprinting; Chapter 4 -- Fundamentals of TOA Positioning; 4.1 Introduction; 4.2 Measurement of TOA in Practice; 4.2.1 NB and WB Measurement of TOA; 4.2.2 Measurement Time, Measurement Noise, and SNR; 4.2.3 Ambiguity in NB and WB TOA Measurements; 4.2.4 Using Two Sinusoids to Control NB Ambiguity; 4.3 CRLB for TOA Ranging; 4.3.1 Comparison of TOA- and RSS-Based Ranging; 4.3.2 CRLB for TOA Ranging Using the Carrier Signal; 4.3.3 CRLB for TOA Ranging Using Two Tones 4.3.4 CRLB for TOA Ranging Using Multi-Carrier Transmission Precise and accurate localization is one of the fundamental scientific and engineering technologies needed for the applications enabling the emergence of the Smart World and the Internet of Things (IoT). Popularity of localization technology began when the GPS became open for commercial applications in early 1990's. Since most commercial localization applications are for indoors and GPS does not work indoors, the discovery of opportunistic indoor geolocation technologies began in mid-1990's. Because of complexity and diversity of science and technology involved in indoor Geolocation, this area has emerged as its own discipline over the past two decades. At the time of this writing, received signal strength (RSS) based Wi-Fi localization is dominating the commercial market complementing cell tower localization and GPS technologies using the time of arrival (TOA) technology. Wi-Fi localization technology takes advantage of the random deployment of Wi-Fi devices worldwide to support indoor and urban area localization for hundreds of thousands of applications on smart devices. Public safety and military applications demand more precise localization for first responders and military applications deploy specialized infrastructure for more precise indoor geolocation. To enhance the performance both industries are examining hybrid localization techniques. Hybrid algorithms use a variety of sensors to measure the speed and direction of movement and integrate them with the absolute radio frequency localization. Indoor Geolocation Science and Technology is a multidisciplinary book that presents the fundamentals of opportunistic localization and navigation science and technology used in different platforms such as: smart devices, unmanned ground and flying vehicles, and existing cars operating as a part of intelligent transportation systems. Material presented in the book are beneficial for the Electrical and Computer Engineering, Computer Science, Robotics Engineering, Biomedical Engineering or other disciplines who are interested in integration of navigation into their multi-disciplinary projects. The book provides examples with supporting MATLAB codes and hands-on projects throughout to improve the ability of the readers to understand and implement variety of algorithms. It can be used for both academic education, as a textbook with problem sets and projects, and the industrial training, as a practical reference book for professionals involved in design and performance evaluation. The author of this book has pioneering research experience and industrial exposure in design and performance evaluation of indoor geolocation based on empirical measurement and modeling of the behavior of the radio propagation in indoor areas and inside the human body. The presentation of the material is based on examples of research and development that his students have performed in his laboratory, his teaching experiences as a professor, and his experiences as a technical consultant to successful startup companies. Kaveh Pahlavan Geographic information systems. http://id.loc.gov/authorities/subjects/sh90001880 Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Systèmes d'information géographique. Internet des objets. geographic information systems. aat SCIENCE Earth Sciences Geography. bisacsh TRAVEL Budget. bisacsh TRAVEL Hikes & Walks. bisacsh TRAVEL Museums, Tours, Points of Interest. bisacsh TRAVEL Parks & Campgrounds. bisacsh SCIENCE / Energy bisacsh Geographic information systems fast Internet of things fast has work: Indoor geolocation science and technology (Text) https://id.oclc.org/worldcat/entity/E39PCGdfmFdxDcXrGrDrhrJ3Bd https://id.oclc.org/worldcat/ontology/hasWork Print version: Pahlavan, Kaveh. Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. Aalborg : River Publishers, ©2019 River Publishers series in communications. http://id.loc.gov/authorities/names/no2012038946 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2018168 Volltext |
| spellingShingle | Pahlavan, Kaveh, 1951- Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. River Publishers series in communications. Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Indoor Geolocation Science and Technology At the Emergence of Smart World and IoT; Copyright Page; Dedication; Contents; Preface; Chapter 1 -- Introduction: Localization in Smart World; 1.1 Introduction; 1.2 Elements of Localization Science; 1.3 Localization Technology and Applications; 1.3.1 Localization for Smart Devices; 1.3.2 Localization for the Robots; 1.3.3 Localization in Smart Health; 1.3.4 Smart Spaces and Localization Using RFID; 1.3.5 Localization for Smart Transportation Systems 1.3.6 Localization for Smart Infrastructure1.4 Some Existing Challenges in Localization; 1.5 Overview of the Book; Assignments for Chapter One; Chapter 2 -- Fundamentals of RSS Ranging; 2.1 Introduction; 2.2 Modeling RSS Behavior for Ranging; 2.2.1 LS Estimation of RSS Model Parameters; 2.2.2 NIST Model for RSS inside the Human Body; 2.2.3 IEEE 802.11 Model for Indoor Areas; 2.2.4 Okumura-Hata Model for Urban Areas; 2.2.5 Behavior of Shadow Fading and Localization Applications; 2.3 RSS-Based Ranging and Distance Measurement Error; 2.3.1 Measurement of Distance using the RSS 2.3.2 An Analytical Method to Calculate the Variance of DME2.4 Classical Estimation Theory and RSS-Based Ranging; 2.4.1 ML and MMSE Estimation for RSS-Based Ranging; 2.4.2 Range Estimation with Multiple RSS Measurements; 2.4.3 CRLB for Ranging with RSS Measurement; 2.4.4 CRLB for Ranging with Multiple RSS Measurements; 2.5 Confidence Regions for RSS-Based Ranging; 2.5.1 Circular Confidence Regions for an RSS-Based Ranging; 2.5.2 Rim-Shaped Confidence Regions for RSS-Based Ranging; 2.5.3 Confidence and Probability of Coverage; Assignments for Chapter Two; Chapter 3 -- RSS Positioning Systems 3.1 Introduction3.2 Performance of RSS Positioning Methods; 3.2.1 Positioning Using RSS Directly; 3.2.2 CRLB for Positioning Using RSS Directly; 3.2.3 RSS-Based Ranging Using a Fingerprint; 3.2.4 CRLB for Positioning Using an RSS Fingerprint Database; 3.3 Positioning Systems Using RSS Directly; 3.3.1 RSS-Based Localization Inside the Human Body; 3.3.2 RSS-Based Passive RFID Systems; 3.3.3 RSS-Based Active RFID Systems; 3.4 Positioning Systems Using RSS Fingerprint Database; 3.4.1 RTLS Wi-Fi Positioning Using RSS Fingerprints; 3.4.2 WPS Wi-Fi Positioning Using RSS Fingerprints 3.4.3 WPS versus GPS3.4.4 WPS and Organic Data; 3.4.5 CPS Cell Tower Localization Using RSS Fingerprinting; Chapter 4 -- Fundamentals of TOA Positioning; 4.1 Introduction; 4.2 Measurement of TOA in Practice; 4.2.1 NB and WB Measurement of TOA; 4.2.2 Measurement Time, Measurement Noise, and SNR; 4.2.3 Ambiguity in NB and WB TOA Measurements; 4.2.4 Using Two Sinusoids to Control NB Ambiguity; 4.3 CRLB for TOA Ranging; 4.3.1 Comparison of TOA- and RSS-Based Ranging; 4.3.2 CRLB for TOA Ranging Using the Carrier Signal; 4.3.3 CRLB for TOA Ranging Using Two Tones Geographic information systems. http://id.loc.gov/authorities/subjects/sh90001880 Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Systèmes d'information géographique. Internet des objets. geographic information systems. aat SCIENCE Earth Sciences Geography. bisacsh TRAVEL Budget. bisacsh TRAVEL Hikes & Walks. bisacsh TRAVEL Museums, Tours, Points of Interest. bisacsh TRAVEL Parks & Campgrounds. bisacsh SCIENCE / Energy bisacsh Geographic information systems fast Internet of things fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh90001880 http://id.loc.gov/authorities/subjects/sh2013000266 |
| title | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_auth | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_exact_search | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_full | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_fullStr | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_full_unstemmed | Indoor Geolocation Science and Technology : At the Emergence of Smart World and IoT. |
| title_short | Indoor Geolocation Science and Technology : |
| title_sort | indoor geolocation science and technology at the emergence of smart world and iot |
| title_sub | At the Emergence of Smart World and IoT. |
| topic | Geographic information systems. http://id.loc.gov/authorities/subjects/sh90001880 Internet of things. http://id.loc.gov/authorities/subjects/sh2013000266 Systèmes d'information géographique. Internet des objets. geographic information systems. aat SCIENCE Earth Sciences Geography. bisacsh TRAVEL Budget. bisacsh TRAVEL Hikes & Walks. bisacsh TRAVEL Museums, Tours, Points of Interest. bisacsh TRAVEL Parks & Campgrounds. bisacsh SCIENCE / Energy bisacsh Geographic information systems fast Internet of things fast |
| topic_facet | Geographic information systems. Internet of things. Systèmes d'information géographique. Internet des objets. geographic information systems. SCIENCE Earth Sciences Geography. TRAVEL Budget. TRAVEL Hikes & Walks. TRAVEL Museums, Tours, Points of Interest. TRAVEL Parks & Campgrounds. SCIENCE / Energy Geographic information systems Internet of things |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2018168 |
| work_keys_str_mv | AT pahlavankaveh indoorgeolocationscienceandtechnologyattheemergenceofsmartworldandiot |