Ultrasonic 3D Position Estimation Using a Single Base Station 1st edition by Esko Dijk, Kees van Berkel, Ronald Aarts, Evert van Loenen – Ebook PDF Instant Download/Delivery. 3540204183, 978-3540204183
Full download Ultrasonic 3D Position Estimation Using a Single Base Station 1st Edition after payment
Product details:
ISBN 10: 3540204183
ISBN 13: 978-3540204183
Author: Esko Dijk, Kees van Berkel, Ronald Aarts, Evert van Loenen
In indoor context awareness applications the location of people, devices or objects is often required. Ultrasound technology enables high resolution indoor position measurements. A disadvantage of state-of-the-art ultrasonic systems is that several base stations are required to estimate 3D position. Since fewer base stations leads to lower cost and easier setup, a novel method is presented that requires just one base station. The method uses information from acoustic reflections in a room, and estimates 3D positions using an acoustic room-model. The method has been implemented, and verified within an empty room. It can be concluded that ultrasonic reflection data provides useful clues about the 3D position of a device.
Ultrasonic 3D Position Estimation Using a Single Base Station 1st Table of contents:
-
Introduction
- 1.1 Background on Position Estimation
- 1.2 Ultrasonic Positioning Systems: Basics and Importance
- 1.3 Problem Statement: Single Base Station Estimation
- 1.4 Objectives of the Study
- 1.5 Structure of the Paper
-
Related Work
- 2.1 Overview of Existing Positioning Methods
- 2.1.1 GPS-based Positioning
- 2.1.2 Radio Frequency Identification (RFID)
- 2.1.3 Vision-Based Positioning Systems
- 2.2 Ultrasonic Positioning Techniques
- 2.2.1 Time of Flight (ToF) Measurements
- 2.2.2 Angle of Arrival (AoA) Methods
- 2.3 Single Base Station Position Estimation: Challenges and Solutions
- 2.1 Overview of Existing Positioning Methods
-
Ultrasonic Signal Propagation and Modeling
- 3.1 Ultrasonic Wave Behavior in Air
- 3.2 Signal Propagation and Attenuation
- 3.3 Factors Affecting Positioning Accuracy
- 3.4 Model of the Ultrasonic System for 3D Positioning
-
Position Estimation Techniques
- 4.1 Time of Flight (ToF) Method
- 4.2 Triangulation Methods Using a Single Base Station
- 4.3 Least Squares Estimation for Position Calculation
- 4.4 Non-linear Optimization for Enhanced Accuracy
- 4.5 Error Estimation and Calibration
-
System Design and Implementation
- 5.1 Ultrasonic Sensor Setup and Configuration
- 5.2 Base Station Design and Integration
- 5.3 Signal Processing and Data Collection
- 5.4 Software Implementation for Position Estimation
- 5.5 Hardware Components and Integration
-
Performance Evaluation
- 6.1 Experimental Setup and Test Environment
- 6.2 Accuracy of 3D Position Estimates
- 6.3 Comparison with Other Positioning Techniques
- 6.4 Sensitivity to Environmental Factors (e.g., temperature, obstacles)
- 6.5 Error Analysis and Improvement Strategies
-
Applications of Ultrasonic 3D Position Estimation
- 7.1 Indoor Navigation Systems
- 7.2 Robotics and Autonomous Vehicles
- 7.3 Industrial Automation and Tracking Systems
- 7.4 Healthcare and Assistive Technology
-
Challenges and Limitations
- 8.1 Multipath Effects in Ultrasonic Positioning
- 8.2 Interference and Noise in Urban or Crowded Environments
- 8.3 System Limitations of Single Base Station Configuration
- 8.4 Scalability and Precision with Multiple Objects
-
Future Directions
- 9.1 Advanced Signal Processing Techniques
- 9.2 Multi-Sensor Fusion for Enhanced Accuracy
- 9.3 Integration with Other Positioning Technologies (e.g., GPS, Vision)
- 9.4 Miniaturization of Ultrasonic Sensors for Mobile Applications
- 9.5 Real-time Applications and Adaptive Systems
-
Conclusion
- 10.1 Summary of Key Findings
- 10.2 Contributions of the Study
- 10.3 Implications for Future Research and Development
People also search for Ultrasonic 3D Position Estimation Using a Single Base Station 1st :
ultrasonic 3d positioning
3d ultrasound beamforming
kinematic 3d object detection in monocular video
ndt ultrasonic calculator
volumetric ultrasonic testing