Vor Ort
Merkzettel Warenkorb
Produktbild: Wireless Localization C

Wireless Localization C With iPhone SDK Examples

147,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.05.2012

Verlag

John Wiley & Sons

Seitenzahl

328

Maße (L/B/H)

25/17,5/2,3 cm

Gewicht

759 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-29851-0

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

14.05.2012

Verlag

John Wiley & Sons

Seitenzahl

328

Maße (L/B/H)

25/17,5/2,3 cm

Gewicht

759 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-118-29851-0

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
Die Leseprobe wird geladen.
  • Produktbild: Wireless Localization C
  • Preface xiii
     
    About the Authors xvii
     
    1 Introduction toWireless Localization 1
     
    1.1 Open Problems in Positioning Technologies 3
     
    1.1.1 Inaccurate Positioning Algorithms 3
     
    1.1.2 Unstable Wireless Signal Transmission 4
     
    1.1.3 Unstructured WLAN Infrastructure 4
     
    1.1.4 Lack of Signal Analytical Models 5
     
    1.2 Factors Leading to Effective Positioning Systems 5
     
    1.2.1 An Accurate Positioning Algorithm/Approach 6
     
    1.2.2 A Stable WLAN Signal Transmission 6
     
    1.2.3 A Structural WLAN Infrastructure 7
     
    1.2.4 A Graphical Fuzzy Signal Visualization Model 7
     
    1.2.5 A Location-aware Information Retrieval System 7
     
    References 9
     
    Part I: Wi-Fi Positioning Systems
     
    2 Installation of Wi-Fi Infrastructure 13
     
    2.1 What is the IEEE 802.11 Family? 14
     
    2.2 Properties of Wi-Fi Signal Strength 15
     
    2.2.1 Distribution of Wi-Fi Signal Strength 15
     
    2.2.2 Large Value of Path Loss 17
     
    2.2.3 Small Value of Path Loss 17
     
    2.2.4 Behavior Study on the Human's Presence 18
     
    2.3 Optimal Channel Allocation for Wi-Fi Positioning 19
     
    2.3.1 Overlapping Channel Interference 20
     
    2.3.2 Distribution of Channel Interference 21
     
    2.3.3 Channel Assignment Schemes 23
     
    2.4 Determining Number of APs to be Installed 24
     
    2.4.1 Square Tessellation Installation 24
     
    2.4.2 Z Factor 24
     
    2.4.3 Environmental Factors 24
     
    2.4.4 Number of Access Points Needed 25
     
    2.5 Other Tessellation Installations 27
     
    2.5.1 X and Y Factors 27
     
    2.5.2 Environmental Factors 30
     
    2.5.3 Determining Number of APs to be Installed 30
     
    2.5.4 Summary of AP Deployment Approach 31
     
    Reference 33
     
    3 Algorithms Used in Wi-Fi Positioning Systems 35
     
    3.1 Taxonomy of Indoor Positioning Techniques 36
     
    3.2 Propagation-based Algorithms 37
     
    3.2.1 Angle of Arrival (AOA) 38
     
    3.2.2 Time of Arrival (TOA) 40
     
    3.2.3 Phase of Arrival (POA) 42
     
    3.2.4 Time Difference of Arrival (TDOA) 43
     
    3.2.5 Roundtrip Time of Flight (RTOF) 46
     
    3.3 Location-fingerprinting-based Algorithms 47
     
    3.3.1 K-Nearest Neighbor Algorithms 47
     
    3.3.2 Smallest M-vertex Polygon (SMP) 50
     
    3.3.3 Neural Network 50
     
    3.3.4 Support Vector Machine (SVM) 53
     
    3.3.5 Probabilistic Algorithms 57
     
    3.4 Evaluation of Positioning Techniques 58
     
    3.4.1 Mean Square Error (MSE) 58
     
    3.4.2 Cumulative Distribution Function (CDF) 59
     
    3.4.3 Cram`er-Rao Lower Bound (CRLB) 59
     
    3.4.4 Circular Error of Probable (CEP) 63
     
    3.4.5 Geometric Dilution of Precision (GDOP) 65
     
    3.5 Comparison of Indoor Positioning System 66
     
    References 68
     
    4 Implementation of Wi-Fi Positioning in iPhone 71
     
    4.1 Site-surveying of Wi-Fi Signals Using iPhone 73
     
    4.2 Implementing Location Fingerprinting Algorithm in iPhone 83
     
    4.3 Orientation Filter 86
     
    4.4 Newton Trust-Region Method 88
     
    4.4.1 TR Subproblem 89
     
    4.4.2 TR Fidelity 89
     
    4.4.3 TR Radius 89
     
    References 95
     
    5 Positioning across Different Mobile Platform 97
     
    5.1 Signal Strength Value Ratio Approach 98
     
    5.1.1 Signal Strength Ratio 98
     
    5.1.2 Log-normalized Signal Strength Ratio 99
     
    5.1.3 K-NN Hyperbolic Location Fingerprinting 99
     
    5.1.4 Probabilistic Hyperbolic Location Fingerprinting 100
     
    5.2 Signal Strength Value Difference Approach 100
     
    5.2.1 Signal Strength Value Differenc