Description
Book SynopsisExplore an insightful summary of the major self-containedaiding technologies for pedestrian navigation from established and emerging leaders in the field
Pedestrian Inertial Navigation with Self-Contained Aidingdeliversa comprehensive and broad treatment ofself-contained aiding techniques in pedestrian inertial navigation. The book combines an introduction to the general concept of navigationand major navigation and aiding techniques with more specific discussions of topics central to the field, as well as an exploration of the future of the future of the field: Ultimate Navigation Chip (uNavChip) technology.
The most commonly used implementation of pedestrian inertial navigation, strapdown inertial navigation, is discussed at length, as are the mechanization, implementation, error analysis, and adaptivity of zero-velocity update aided inertial navigation algorithms.The book demonstrates the implementation of ultrasonic sensors, ultra-wide band (UWB) sens
Table of Contents
Author Biographies xi
List of Figures xiii
List of Tables xix
1 Introduction 1
1.1 Navigation 1
1.2 Inertial Navigation 2
1.3 Pedestrian Inertial Navigation 5
1.3.1 Approaches 6
1.3.2 IMU Mounting Positions 7
1.3.3 Summary 8
1.4 Aiding Techniques for Inertial Navigation 9
1.4.1 Non-self-contained Aiding Techniques 9
1.4.1.1 Aiding Techniques Based on Natural Signals 9
1.4.1.2 Aiding Techniques Based on Artificial Signals 10
1.4.2 Self-contained Aiding Techniques 11
1.5 Outline of the Book 13
References 13
2 Inertial Sensors and Inertial Measurement Units 17
2.1 Accelerometers 17
2.1.1 Static Accelerometers 17
2.1.2 Resonant Accelerometers 19
2.2 Gyroscopes 21
2.2.1 Mechanical Gyroscopes 21
2.2.2 Optical Gyroscopes 22
2.2.2.1 Ring Laser Gyroscopes 22
2.2.2.2 Fiber Optic Gyroscopes 23
2.2.3 Nuclear Magnetic Resonance Gyroscopes 24
2.2.4 MEMS Vibratory Gyroscopes 24
2.2.4.1 Principle of Operation 25
2.2.4.2 Mode of Operation 25
2.2.4.3 Error Analysis 27
2.3 Inertial Measurement Units 28
2.3.1 Multi-sensor Assembly Approach 28
2.3.2 Single-Chip Approach 29
2.3.3 Device Folding Approach 30
2.3.4 Chip-Stacking Approach 31
2.4 Conclusions 32
References 32
3 Strapdown Inertial Navigation Mechanism 37
3.1 Reference Frame 37
3.2 Navigation Mechanism in the Inertial Frame 38
3.3 Navigation Mechanism in the Navigation Frame 40
3.4 Initialization 41
3.4.1 Tilt Sensing 42
3.4.2 Gyrocompassing 43
3.4.3 Magnetic Heading Estimation 44
3.5 Conclusions 45
References 45
4 Navigation Error Analysis in Strapdown Inertial Navigation 47
4.1 Error Source Analysis 47
4.1.1 Inertial Sensor Errors 48
4.1.2 Assembly Errors 51
4.1.3 Definition of IMU Grades 53
4.1.3.1 Consumer Grade 54
4.1.3.2 Industrial Grade 54
4.1.3.3 Tactical Grade 55
4.1.3.4 Navigation Grade 55
4.2 IMU Error Reduction 55
4.2.1 Six-Position Calibration 55
4.2.2 Multi-position Calibration 57
4.3 Error Accumulation Analysis 57
4.3.1 Error Propagation in Two-Dimensional Navigation 58
4.3.2 Error Propagation in Navigation Frame 61
4.4 Conclusions 62
References 63
5 Zero-Velocity Update Aided Pedestrian Inertial Navigation 65
5.1 Zero-Velocity Update Overview 65
5.2 Zero-Velocity Update Algorithm 68
5.2.1 Extended Kalman Filter 68
5.2.2 EKF in Pedestrian Inertial Navigation 70
5.2.3 Zero-Velocity Update Implementation 70
5.3 Parameter Selection 73
5.4 Conclusions 76
References 76
6 Navigation Error Analysis in the ZUPT-Aided Pedestrian Inertial Navigation 79
6.1 Human Gait Biomechanical Model 79
6.1.1 Foot Motion in Torso Frame 80
6.1.2 Foot Motion in Navigation Frame 80
6.1.3 Parameterization of Trajectory 81
6.2 Navigation Error Analysis 83
6.2.1 Starting Point 83
6.2.2 Covariance Increase During Swing Phase 84
6.2.3 Covariance Decrease During the Stance Phase 87
6.2.4 Covariance Level Estimation 88
6.2.5 Observations 92
6.3 Verification of Analysis 93
6.3.1 Numerical Verification 93
6.3.1.1 Effect of ARW 93
6.3.1.2 Effect of VRW 95
6.3.1.3 Effect of RRW 95
6.3.2 Experimental Verification 96
6.4 Limitations of the ZUPT Aiding Technique 99
6.5 Conclusions 100
References 101
7 Navigation Error Reduction in the ZUPT-Aided Pedestrian Inertial Navigation 103
7.1 IMU-Mounting Position Selection 104
7.1.1 Data Collection 105
7.1.2 Data Averaging 105
7.1.3 Data Processing Summary 107
7.1.4 Experimental Verification 109
7.2 Residual Velocity Calibration 110
7.3 Gyroscope G-Sensitivity Calibration 115
7.4 Navigation Error Compensation Results 117
7.5 Conclusions 119
References 119
8 Adaptive ZUPT-Aided Pedestrian Inertial Navigation 121
8.1 Floor Type Detection 121
8.1.1 Algorithm Overview 122
8.1.2 Algorithm Implementation 123
8.1.2.1 Data Partition 123
8.1.2.2 Principal Component Analysis 124
8.1.2.3 Artificial Neural Network 125
8.1.2.4 Multiple Model EKF 127
8.1.3 Navigation Result 129
8.1.4 Summary 130
8.2 Adaptive Stance Phase Detection 130
8.2.1 Zero-Velocity Detector 131
8.2.2 Adaptive Threshold Determination 131
8.2.3 Experimental Verification 135
8.2.4 Summary 136
8.3 Conclusions 138
References 139
9 Sensor Fusion Approaches 141
9.1 Magnetometry 141
9.2 Altimetry 142
9.3 Computer Vision 143
9.4 Multiple-IMU Approach 145
9.5 Ranging Techniques 146
9.5.1 Introduction to Ranging Techniques 147
9.5.1.1 Time of Arrival 147
9.5.1.2 Received Signal Strength 147
9.5.1.3 Angle of Arrival 148
9.5.2 Ultrasonic Ranging 149
9.5.2.1 Foot-to-Foot Ranging 150
9.5.2.2 Directional Ranging 150
9.5.3 Ultrawide Band Ranging 153
9.6 Conclusions 154
References 154
10 Perspective on Pedestrian Inertial Navigation Systems 159
10.1 Hardware Development 159
10.2 Software Development 161
10.3 Conclusions 161
References 162
Index 163
