• Aucun résultat trouvé

(1)Contents List of Acronyms X List of Symbols XIV List of Figures XVII List of Tables XXI 1 Introduction 1 1.1 Internet-of-Things (IoT

N/A
N/A
Protected

Academic year: 2021

Partager "(1)Contents List of Acronyms X List of Symbols XIV List of Figures XVII List of Tables XXI 1 Introduction 1 1.1 Internet-of-Things (IoT"

Copied!
3
0
0

Texte intégral

(1)

Contents

List of Acronyms X

List of Symbols XIV

List of Figures XVII

List of Tables XXI

1 Introduction 1

1.1 Internet-of-Things (IoT) . . . . 1

1.2 Bluetooth Low Energy (BLE) technology . . . . 2

1.2.1 Channels and packet structure . . . . 2

1.2.2 Frequency Hopping Spread Spectrum (FHSS) . . . . 3

1.2.3 Gaussian Frequency Shift Keying (GFSK) modulation . . . . 3

1.3 Indoor positioning . . . . 4

1.3.1 Range parameters . . . . 6

1.3.1.1 Received Signal Strength (RSS) . . . . 6

1.3.1.2 Time-of-Arrival (ToA) . . . . 6

1.3.1.3 Time Difference-of-Arrival (TDoA) . . . . 7

1.3.1.4 Angle-of-Arrival (AoA) . . . . 7

1.3.2 Position estimation methods . . . . 8

1.3.2.1 Fingerprinting . . . . 8

1.3.2.2 Geometry-based . . . . 8

1.4 System model . . . . 10

1.5 Prototyping . . . . 13

1.6 Motivation and contribution . . . . 16

1.7 Outline . . . . 20

2 Impact of hardware imperfections on AoA estimation 23 2.1 Introduction and Contribution . . . . 23

2.2 Outline . . . . 24

2.3 Multiple Signal Classification (MUSIC) algorithm . . . . 24

2.4 Analysis of the impact of hardware imperfections on MUSIC . . . . . 25

(2)

VIII Contents

2.5 Experimental setup . . . . 27

2.5.1 Setup description . . . . 27

2.5.2 Calibration method . . . . 28

2.6 Experimental results . . . . 33

2.6.1 AoA estimation uncertainty with calibration errors . . . . 33

2.6.2 AoA estimation under a perfect calibration . . . . 33

2.7 Conclusion . . . . 37

3 Iterative AoA-based positioning 39 3.1 Introduction and contribution . . . . 39

3.2 Outline . . . . 40

3.3 Iterative algorithm . . . . 40

3.3.1 Angle estimation step . . . . 41

3.3.1.1 Data-Aided Maximum a Posteriori (DA-MAP) . . . 42

3.3.1.2 Non-Data-Aided Maximum a Posteriori (NDA-MAP) 43 3.3.2 Position estimation step . . . . 46

3.3.3 Coordinates to AoA translation . . . . 49

3.4 Complexity analysis . . . . 49

3.5 Simulation results . . . . 51

3.5.1 AoA performance . . . . 52

3.5.2 Positioning performance . . . . 54

3.5.3 Impact of multipath and Non-Line-of-Sight (NLOS) propagation 60 3.5.4 Impact of precomputed autocorrelation function . . . . 62

3.5.5 Complexity analysis . . . . 63

3.6 Experimental Validation . . . . 65

3.7 Conclusion . . . . 67

4 Anchor selection against NLOS propagation 69 4.1 Introduction and contribution . . . . 69

4.2 Outline . . . . 70

4.3 Iterative algorithm with anchor selection . . . . 70

4.3.1 Angle estimation step . . . . 71

4.3.2 Position estimation step . . . . 72

4.3.3 Coordinates to AoA translation . . . . 74

4.4 Simulation results . . . . 75

4.5 Conclusion . . . . 77

5 Conclusion and future work 81 5.1 Conclusion . . . . 81

5.2 Future work . . . . 82

Publications and scientific activities 85

(3)

Contents IX

Bibliography 87

Références

Documents relatifs

the One Health approach; Integrated Disease Surveillance and Response (IDSR); the Asia Pacific Strategy for Emerging Diseases (APSED); EURO 2020; the Essential Public

Table 01: Sum-up of teaching and testing English process from the middle schools up to high schools at Biskra University………...47 Table 02: The approaches to test English

Based on Guda et al (2009),together with the bioinformatic analysis,this variant has been classified as putatively pathogenic .Unfortunately,DNA wasnot available from the family

The states should to closely monitor all aspects of services including availability of sampling services and tests at the government health facilities, cold

Split-Stream LA-ICP-MS zircon U-Pb isotope and trace element analyses for representative igneous rocks from Côté Gold, Flavrian-St-Jude, and Clifford in the southern

Table 2.1 Production function approach: Comparative analysis on foreign spillovers Table 2.2 Comparative analysis based on technological or geographic proximities Table 2.3

2001)---145 F IGURE 3: P REVALENCE RATES BY AGE ACCORDING TO DIFFERENT SCENARIOS , FOR B ELGIUM IN 2050 ---152 F IGURE 4: P ROJECTIONS OF DEPENDENCY PREVALENCE RATES AT

In this chapter, we present the simulation results and performance analysis for thepropo sed framework for the network-coded cooperation in this thesis. We present the results for